• Adaptive control: A control method that adjusts the control parameters based on the changes in the system.
  • Adaptive controller: A control system that changes its controlling parameters based on the system’s behavior.
  • Asymptotic stability: A system is asymptotically stable if it approaches a steady state as time progresses.
  • Autonomous control: A control system that can operate independently without human intervention.
  • Autonomous systems: Systems that can perform tasks without human intervention.
  • Autonomy: The ability of a system to perform tasks without human intervention.
  • Backstepping control: A control method that recursively constructs a control input based on the error between the desired output and the actual output.
  • Bode plot: A graphical representation of the frequency response of a system, showing the gain and phase shift as a function of frequency.
  • Bullet Point List All Control Terminology and Related Definitions.
  • Closed-loop control: A control system in which the output is used to adjust the input.
  • Consensus control: A control system that coordinates the actions of multiple agents or subsystems to achieve agreement on a certain variable or state.
  • Control allocation: The process of determining the optimal control inputs for a system with multiple control inputs and constraints.
  • Control design: The process of creating a control system by selecting the appropriate control algorithms and tuning the control parameters.
  • Control gain: A parameter that determines the strength of the control input.
  • Control reconfiguration: The process of changing the control structure of a system in response to changes in the system’s behavior or environment.
  • Control system access control: The process of controlling and regulating access to control systems and their data.
  • Control system anomaly detection: The process of identifying abnormal or unexpected behavior in a control system.
  • Control system architecture: The overall structure and organization of a control system, including the hardware and software components.
  • Control system authentication: The process of verifying the identity of users accessing control systems and their data.
  • Control system authorization: The process of granting or denying access to control systems and their data based on user identities and roles.
  • Control system automation: The process of using technology to control a system without human intervention.
  • Control system availability assessment: The process of evaluating the current state of availability in a control system.
  • Control system availability incident communication: The process of disseminating information about availability incidents in a control system to stakeholders and relevant parties.
  • Control system availability incident documentation: The process of creating and maintaining records of availability incidents in a control system.
  • Control system availability incident response team: A dedicated team responsible for responding to and managing availability incidents in a control system.
  • Control system availability incident response training: The process of providing knowledge and skills related to availability incident response to relevant personnel in a control system.
  • Control system availability incident management system: Software or technology used to manage and track availability incidents in a control system.
  • Control system availability incident management: The process of identifying, responding to, and resolving availability incidents in a control system.
  • Control system availability incident recovery: The process of restoring normal operations and data availability in a control system following an availability incident.
  • Control system availability incident response plan: A plan outlining the procedures and protocols for responding to availability incidents in a control system.
  • Control system availability incident review: The process of conducting a post-incident analysis to assess the effectiveness of the incident response and identify areas for improvement.
  • Control system availability monitoring: The process of monitoring control systems for signs of unavailability or downtime.
  • Control system availability violation: An event or occurrence that poses a threat to the availability of a control system.
  • Control system availability: The ability of a control system to function and provide access to data when needed.
  • Control system calibration: The process of adjusting the control system’s parameters to match the real plant.
  • Control system change management: The process of managing and controlling changes to control systems and their components.
  • Control system commissioning: The process of testing and fine-tuning a control system before it goes into operation.
  • Control system communication: The exchange of information between the different components of a control system.
  • Control system compatibility: The ability of control systems to work together seamlessly in order to achieve a common goal.
  • Control system compliance audit: The process of reviewing and evaluating control systems and data governance practices to ensure compliance with laws, regulations, standards, and best practices.
  • Control system compliance certification: The process of obtaining formal recognition or accreditation of compliance with laws, regulations, standards, and best practices related to control systems and data governance.
  • Control system compliance framework: The structure and organization for implementing and enforcing compliance policies related to control systems and data governance.
  • Control system compliance incident management: The process of identifying, responding to, and resolving compliance incidents in a control system.
  • Control system compliance incident response plan: A plan outlining the procedures and protocols for responding to compliance incidents in a control system.
  • Control system compliance incident: An event or occurrence that poses a threat to the compliance of a control system.
  • Control system compliance management: The process of implementing, maintaining and ensuring compliance with laws, regulations, standards, and best practices related to control systems and data governance.
  • Control system compliance policy: The set of rules and guidelines for ensuring compliance with laws, regulations, standards, and best practices related to control systems and data governance.
  • Control system compliance reporting: The process of submitting information about control systems and data governance compliance to relevant authorities or organizations.
  • Control system compliance risk management: The process of identifying, assessing, and mitigating risks related to compliance with laws, regulations, standards, and best practices related to control systems and data governance.
  • Control system compliance: The adherence to laws, regulations, standards, and best practices related to control systems and data governance.
  • Control system configuration management: The process of managing and maintaining the configuration of control systems and their components.
  • Control system configuration: The process of setting up and adjusting the parameters of a control system.
  • Control system data analysis: The process of analyzing data from a control system in order to improve its performance or identify issues.
  • Control system data analytics: The process of using data from a control system to improve the performance and decision-making of the system.
  • Control system data anomaly detection: The process of using data from a control system to identify unusual or abnormal behavior in the system.
  • Control system data archiving: The process of storing data from a control system for long-term retention and historical reference.
  • Control system data archiving: The process of transferring data in control systems to long-term storage for historical or compliance purposes.
  • Control system data auditing: The process of monitoring and reviewing data from a control system to ensure compliance with regulations and policies.
  • Control system data backup: The process of making copies of data from a control system for safekeeping in case of failure or disaster
  • Control system data backup: The process of making copies of data from a control system for safekeeping in case of failure or disaster.
  • Control system data classification: The process of categorizing data in control systems based on its sensitivity and importance.
  • Control system data cleansing: The process of identifying and removing errors, inconsistencies, or duplicates in data from a control system.
  • Control system data clustering: The process of grouping similar data points together in a control system.
  • Control system data compression: The process of reducing the size of data from a
  • Control system data compression: The process of reducing the size of data from a control system for storage or transmission.
  • Control system data correlation analysis: The process of identifying relationships and connections between different data points in a control system.
  • Control system data encryption: The process of converting data from a control system into a coded format for security.
  • Control system data fault detection: The process of using data from a control system to detect and diagnose faults or failures in the system.
  • Control system data fault diagnosis: The process of identifying the cause of a fault or failure in a control system based on data and analysis.
  • Control system data fault tolerance: The ability of a control system to continue operating and performing its function despite the presence of faults or failures.
  • Control system data governance audit: The process of reviewing and evaluating data governance practices in a control system to ensure compliance.
  • Control system data governance audit: The process of reviewing and evaluating data governance practices in control systems.
  • Control system data governance automation: The use of technology to automate data governance processes in a control system.
  • Control system data governance best practices: The established and recommended methods for managing and controlling data in a control system.
  • Control system data governance compliance: The adherence to data governance policies and regulations in a control system.
  • Control system data governance documentation: The process of creating and maintaining documentation related to data governance in a control system.
  • Control system data governance framework: The structure and organization for implementing and enforcing data governance policies in a control system.
  • Control system data governance framework: The structure and organization for implementing and enforcing data governance policies in control systems.
  • Control system data governance incident assessment: The process of evaluating the impact and severity of a data governance incident.
  • Control system data governance incident awareness: The knowledge and understanding of data governance incidents and related risks in a control system.
  • Control system data governance incident benchmarking: The process of comparing data governance incident data to industry standards or best practices.
  • Control system data governance incident categorization: The process of classifying data governance incidents based on their severity or impact.
  • Control system data governance incident closure: The process of formally closing a data governance incident and documenting the resolution and follow-up actions.
  • Control system data governance incident communication plan: A plan outlining the procedures and protocols for communicating information about data governance incidents in a control system to relevant parties.
  • Control system data governance incident communication: The process of disseminating information about data governance incidents in a control system to stakeholders and relevant parties.
  • Control system data governance incident communication: The process of disseminating information about incidents related to data governance in control systems to stakeholders and relevant parties.
  • Control system data governance incident continuity plan: A plan outlining the procedures and protocols for maintaining business operations and data integrity in a control system during or after a data governance incident.
  • Control system data governance incident documentation: The process of creating and maintaining records of data governance incidents in a control system.
  • Control system data governance incident escalation: The process of escalating a data governance incident to higher-level authorities or experts for further action or resolution.
  • Control system data governance incident exercise: The process of simulating and testing data governance incident response plans and procedures in a control system.
  • Control system data governance incident investigation: The process of determining the root cause of a data governance incident in a control system.
  • Control system data governance incident investigation: The process of determining the root cause of incidents related to data governance in control systems.
  • Control system data governance incident management analysis: The process of examining data governance incidents to determine the cause and identify potential solutions.
  • Control system data governance incident management audit: The process of reviewing and evaluating data governance incident management practices in a control system to ensure compliance with policies and regulations.
  • Control system data governance incident management best practices: The established and recommended methods for managing and responding to data governance incidents in a control system.
  • Control system data governance incident management communication plan: A plan outlining the procedures and protocols for communicating information about data governance incidents in a control system to relevant parties.
  • Control system data governance incident management communication: The dissemination of information about data governance incidents in a control system to stakeholders and relevant parties.
  • Control system data governance incident management containment: The process of isolating a data governance incident to prevent it from spreading or causing further damage.
  • Control system data governance incident management documentation: The process of creating and maintaining documentation related to data governance incident management in a control system.
  • Control system data governance incident management escalation: The process of escalating a data governance incident to higher-level authorities or experts for further action or resolution.
  • Control system data governance incident management framework: The structure and organization for implementing and enforcing data governance incident management policies in a control system.
  • Control system data governance incident management plan: A plan outlining the procedures and protocols for managing and responding to data governance incidents.
  • Control system data governance incident management policy: The set of rules and guidelines for managing and responding to data governance incidents in a control system.
  • Control system data governance incident management process improvement: The process of identifying and implementing changes to improve data governance incident management practices in a control system.
  • Control system data governance incident management recovery plan: A plan outlining the procedures and protocols for restoring normal operations and data integrity in a control system following a data governance incident.
  • Control system data governance incident management reporting: The process of submitting information about data governance incidents to relevant authorities or organizations.
  • Control system data governance incident management review: The process of conducting a review of data governance incident management practices in a control system to identify areas for improvement.
  • Control system data governance incident management roles and responsibilities: The assignments and tasks related to data governance incident management in a control system.
  • Control system data governance incident management software: Software used to manage and track data governance incidents in a control system.
  • Control system data governance incident management system: Software or technology used to manage and track data governance incidents in a control system.
  • Control system data governance incident management team: A dedicated team responsible for managing and responding to data governance incidents in a control system.
  • Control system data governance incident management training: The process of providing knowledge and skills related to data governance incident management to relevant personnel in a control system.
  • Control system data governance incident management: The process of identifying, responding to, and resolving data governance incidents in a control system.
  • Control system data governance incident management: The process of identifying, responding to, and resolving incidents related to data governance in control systems.
  • Control system data governance incident metrics: The measurable data and statistics related to data governance incidents in a control system.
  • Control system data governance incident mitigation: The process of taking action to reduce the impact and severity of a data governance incident.
  • Control system data governance incident notification: The process of informing relevant parties of a data governance incident.
  • Control system data governance incident performance measurement: The process of assessing the effectiveness and efficiency of data governance incident management in a control system.
  • Control system data governance incident post-mortem: The process of conducting a review and analysis of a data governance incident after it has been resolved.
  • Control system data governance incident prevention: The process of implementing measures to prevent data governance incidents from occurring in a control system.
  • Control system data governance incident prioritization: The process of determining the priority level of data governance incidents based on their severity or impact.
  • Control system data governance incident process improvement: The process of identifying and implementing changes to improve data governance incident management in a control system.
  • Control system data governance incident readiness: The level of preparedness and ability to respond to data governance incidents in a control system.
  • Control system data governance incident recovery time: The amount of time taken to restore normal operations and data integrity in a control system following a data governance incident.
  • Control system data governance incident recovery: The process of restoring normal operations and data integrity after a data governance incident.
  • Control system data governance incident recovery: The process of restoring normal operations and data integrity in a control system following a data governance incident.
  • Control system data governance incident recovery: The process of restoring normal operations and data integrity in control systems following an incident related to data governance.
  • Control system data governance incident reporting: Submitting information about data governance incidents to relevant authorities or organizations.
  • Control system data governance incident resolution time: The amount of time taken to resolve a data governance incident in a control system.
  • Control system data governance incident response management system: Software or technology used to manage and track data governance incident response in a control system.
  • Control system data governance incident response plan: A plan outlining the procedures and protocols for responding to data governance incidents in a control system.
  • Control system data governance incident response plan: A plan outlining the procedures and protocols for responding to incidents related to data governance in control systems.
  • Control system data governance incident response report: A document outlining the details of a data governance incident, the actions are taken, and the outcome of the incident in a control system.
  • Control system data governance incident response review: The process of conducting a post-incident analysis to assess the effectiveness of the incident response and identify areas for improvement in a control system.
  • Control system data governance incident response team: A dedicated team responsible for responding to and managing data governance incidents in a control system.
  • Control system data governance incident response training: The process of providing knowledge and skills related to data governance incident response to relevant personnel in a control system.
  • Control system data governance incident review: The process of conducting a post-incident analysis to assess the effectiveness of the incident response and identify areas for improvement.
  • Control system data governance incident trending: The process of analyzing data governance incident data over time to identify patterns and trends.
  • Control system data governance monitoring: The process of continuously observing and tracking data governance activities in a control system.
  • Control system data governance policies: The set of rules and guidelines for managing and controlling data in a control system.
  • Control system data governance policy: The set of rules and guidelines for managing and governing data in control systems.
  • Control system data governance program: A comprehensive program for implementing data governance in control systems.
  • Control system data governance remediation: The process of addressing and correcting issues related to data governance in a control system.
  • Control system data governance reporting: The process of generating reports on data governance activities and status in a control system.
  • Control system data governance risk management: The process of identifying, assessing, and mitigating risks associated with data governance in a control system.
  • Control system data governance risk management: The process of identifying, assessing, and mitigating risks related to data governance in control systems.
  • Control system data governance roles and responsibilities: The assignments and tasks related to data governance in a control system.
  • Control system data governance tools: Software or technologies used to manage and control data in a control system.
  • Control system data governance training and education: The process of providing knowledge and skills related to data governance in a control system to the relevant personnel.
  • Control system data governance: The process of managing and controlling data from a control system to ensure compliance with regulations and policies.
  • Control system data governance: The process of managing and governing the data in control systems to ensure its integrity, availability, and security.
  • Control system data governance: The process of managing and protecting data from a control system.
  • Control system data integration: The process of combining data from multiple control systems or sources.
  • Control system data integration: The process of combining data from multiple sources in a control system for a more comprehensive view of the system.
  • Control system data integrity: The process of maintaining the accuracy and consistency of data from a control system.
  • Control system data interpretation: The process of making sense of data from a control system and extracting useful information.
  • Control system data lineage analysis: The process of studying and interpreting the flow of data in control systems.
  • Control system data lineage compliance: The process of ensuring data lineage in control systems adheres to laws, regulations, standards, and best practices.
  • Control system data lineage documentation: The process of creating and maintaining records of data lineage in control systems.
  • Control system data lineage governance: The process of managing and governing the data lineage in control systems to ensure its integrity, availability, and security.
  • Control system data lineage incident management: Identifying, responding to, and resolving incidents related to data lineage in control systems.
  • Control system data lineage incident: An event or occurrence that threatens the data lineage in a control system.
  • Control system data lineage management: Implementing, maintaining, and ensuring data lineage governance and compliance in control systems.
  • Control system data lineage management: The process of maintaining and updating the relationships and path of data in a control system.
  • Control system data lineage mapping: The process of creating a diagram or visualization of the flow of data in control systems.
  • Control system data lineage tool: Software or technology used to manage and track data lineage in control systems.
  • Control system data lineage tracing: The process of identifying the relationships between different data elements in a control system and the path of how they were generated.
  • Control system data lineage tracking: The process of monitoring and recording the movement and transformation of data in control systems.
  • Control system data lineage validation: The process of verifying the accuracy and completeness of data lineage in control systems.
  • Control system data lineage visualization: The process of displaying the relationships and path of data in a control system in a graphical format.
  • Control system data lineage: The process of tracking the movement and transformation of data in control systems over time.
  • Control system data lineage: The process of tracking the origin and movement of data in a control system.
  • Control system data logging: The process of recording data from a control system for future analysis.
  • Control system data management system: Software that provides tools and interfaces for collecting, storing, analyzing, and managing data from a control system.
  • Control system data management: The process of collecting, storing, and analyzing data from a control system.
  • Control system data masking: The process of hiding sensitive data in control systems to protect its confidentiality.
  • Control system data mining: The process of extracting useful information from large amounts of data from a control system.
  • Control system data mining: The process of using automated techniques to extract useful information and knowledge from data in a control system.
  • Control system data modeling: The process of creating mathematical or computational models of the data from a control system to make predictions or understand system behavior.
  • Control system data normalization: The process of organizing data in a control system in a consistent and orderly manner.
  • Control system data optimization: The process of using data from a control system to find the best settings or parameters for the system to operate efficiently and effectively.
  • Control system data pattern recognition: The process of identifying patterns and regularities in data from a control system.
  • Control system data prediction: The process of using data from a control system to predict future behavior or events.
  • Control system data privacy: The protection of personal information and data collected by a control system.
  • Control system data processing: The process of analyzing and manipulating data from a control
  • Control system data processing: The process of analyzing and manipulating data from a control system.
  • Control system data quality assessment: The process of evaluating the current state of data quality in control systems.
  • Control system data quality assurance: The process of implementing procedures and processes to ensure that data in a control system is of high quality.
  • Control system data quality audit: The process of reviewing and evaluating data quality practices in control systems.
  • Control system data quality control: The process of monitoring and checking data in a control system for accuracy and consistency.
  • Control system data quality documentation: The process of creating and maintaining records of data quality in control systems.
  • Control system data quality improvement: The process of making changes to control systems to improve the quality of data.
  • Control system data quality incident management: The process of identifying, responding to, and resolving incidents related to data quality in control systems.
  • Control system data quality incident: An event or occurrence that poses a threat to the data quality in a control system.
  • Control system data quality management: The process of implementing, maintaining and ensuring the quality of data in control systems.
  • Control system data quality monitoring: The process of monitoring control systems for signs of poor data quality.
  • Control system data quality standards: The set of rules and guidelines for ensuring the quality of data in control systems.
  • Control system data quality tool: Software or technology used to manage and track data quality in control systems.
  • Control system data quality validation: The process of verifying the accuracy and completeness of data in control systems.
  • Control system data quality: The degree to which data from a control system is accurate, complete, and consistent.
  • Control system data quality: The degree to which data in control systems is accurate, complete, and consistent.
  • Control system data reconciliation: The process of comparing and resolving differences in data from a control system from different sources or at different points in time.
  • Control system data recovery: The process of restoring data from a control system in case of failure or disaster.
  • Control system data reporting: The process of generating reports and visualizations of data from a control system.
  • Control system data retention: The process of maintaining and storing data in control systems for a specific period of time.
  • Control system data security audit: The process of reviewing and evaluating data security practices in control systems.
  • Control system data security framework: The structure and organization for implementing and enforcing data security policies in control systems.
  • Control system data security incident communication: The process of disseminating information about incidents related to data security in control systems to stakeholders and relevant parties.
  • Control system data security incident investigation: The process of determining the root cause of incidents related to data security in control systems.
  • Control system data security incident management: The process of identifying, responding to, and resolving incidents related to data security in control systems.
  • Control system data security incident recovery: The process of restoring normal operations and data integrity in control systems following an incident related to data security.
  • Control system data security incident response plan: A plan outlining the procedures and protocols for responding to incidents related to data security in control systems.
  • Control system data security policy: The set of rules and guidelines for protecting data in control systems.
  • Control system data security program: A comprehensive program for implementing data security in control systems.
  • Control system data security risk management: The process of identifying, assessing, and mitigating risks related to data security in control systems.
  • Control system data security: The process of protecting control systems and their data from unauthorized access, use, disclosure, disruption, modification, or destruction.
  • Control system data security: The process of protecting data from a control system from unauthorized access or malicious attacks.
  • Control system data simulation: The process of using data and models from a control system to simulate the behavior of the system under different conditions.
  • Control system data storage: The process of saving data from a control system for future use.
  • Control system data transformation: The process of converting data from one format or structure to another in a control system.
  • Control system data transmission: The process of sending data from a control system over a communication network.
  • Control system data trend analysis: The process of analyzing data from a control system over time to identify patterns and trends.
  • Control system data validation: The process of verifying that data in a control system is correct and accurate.
  • Control system data visualization: The process of displaying data from a control system in a graphical or visual format.
  • Control system data warehousing: The process of storing and managing large amounts of data from a control system for easy retrieval and analysis.
  • Control system data warehousing: The process of storing data from a control system in a central repository for analysis and reporting.
  • Control system decommissioning: The process of shutting down and removing a control system from service.
  • Control system decryption: The process of converting data in control systems from a secure and unreadable format to its original format.
  • Control system deployment: The process of installing and setting up a control system in the field.
  • Control system diagnostics: The process of identifying and analyzing problems with a control system.
  • Control system documentation: The process of creating and maintaining documentation for a control system, such as user manuals, technical specifications, and system diagrams.
  • Control system dynamics: The study of the time-varying behavior of control systems.
  • Control system encryption: The process of converting data in control systems into a secure and unreadable format.
  • Control system engineering: The interdisciplinary field that deals with the design, implementation, and analysis of control systems.
  • Control system engineering: The process of designing, implementing, and maintaining control systems.
  • Control system event correlation: The process of identifying and analyzing patterns and relationships among events in a control system.
  • Control system firmware: Software that is permanently stored on a device and controls its basic functions.
  • Control system flexibility: The ability of a control system to adapt to changes in the system or environment.
  • Control system hardware: The physical components of a control system, including sensors, actuators, and controllers.
  • Control system identification: The process of determining the mathematical model of a system based on its input-output behavior.
  • Control system identity management: The process of managing user identities and access rights in control systems.
  • Control system incident communication: The process of disseminating information about incidents in a control system to stakeholders and relevant parties.
  • Control system incident containment: The process of isolating and containing incidents in a control system to limit their impact.
  • Control system incident eradication: The process of eliminating incidents in a control system by removing the underlying cause.
  • Control system incident escalation: The process of escalating incidents in a control system to higher levels of management or relevant authorities.
  • Control system incident recovery: The process of restoring normal operations and data integrity in a control system following an incident.
  • Control system incident response exercises: The process of simulating incidents in a control system to test incident response procedures and train personnel.
  • Control system incident response plan: A plan outlining the procedures and protocols for responding to incidents in a control system.
  • Control system incident response team: A dedicated team responsible for responding to and managing incidents in a control system.
  • Control system incident response training: The process of providing knowledge and skills related to incident response to relevant personnel in a control system.
  • Control system incident triage: The process of prioritizing and categorizing incidents in a control system.
  • Control system integration: The process of combining different control systems or subsystems into a larger system.
  • Control system integrity assessment: The process of evaluating the current state of integrity in a control system.
  • Control system integrity incident communication: The process of disseminating information about integrity incidents in a control system to stakeholders and relevant parties.
  • Control system integrity incident documentation: The process of creating and maintaining records of integrity incidents in a control system.
  • Control system integrity incident investigation: The process of determining the root cause of an integrity incident in a control system.
  • Control system integrity incident management system: Software or technology used to manage and track integrity incidents in a control system.
  • Control system integrity incident management: The process of identifying, responding to, and resolving integrity incidents in a control system.
  • Control system integrity incident recovery: The process of restoring normal operations and data integrity in a control system following an integrity incident.
  • Control system integrity incident response plan: A plan outlining the procedures and protocols for responding to integrity incidents in a control system.
  • Control system integrity incident review: The process of conducting a post-incident analysis to assess the effectiveness of the incident response and identify areas for improvement.
  • Control system integrity monitoring: The process of monitoring control systems for signs of unauthorized access, manipulation, or damage.
  • Control system integrity violation: An event or occurrence that poses a threat to the integrity of a control system.
  • Control system integrity: The state of being whole, complete, and unaltered in a control system.
  • Control system life cycle: The stages of development, deployment, maintenance, and retirement of a control system.
  • Control system logging: The process of recording events and activities in a control system for later analysis.
  • Control system maintenance: The process of keeping a control system in good working order and making repairs or upgrades as needed.
  • Control system mathematics: The application of mathematical concepts and techniques to the study of control systems.
  • Control system monitoring: The process of observing and analyzing control systems and their data to detect and diagnose issues.
  • Control system monitoring: The process of observing the performance of a control system and collecting data for analysis.
  • Control system optimization: The process of finding the best control inputs for a system to achieve a desired performance.
  • Control system password management: The process of managing and securing passwords used to access control systems and their data.
  • Control system patch management: The process of managing and applying software updates, fixes, and patches to control systems and their components.
  • Control system performance: The ability of a control system to achieve its goals and objectives.
  • Control system reliability: The ability of a control system to perform its intended function over a specified period of time.
  • Control system retrofit: The process of updating an existing control system with new hardware or software.
  • Control system robustness: The ability of a control system to maintain its desired behavior despite variations in the system or its environment.
  • Control system scalability: The ability of a control system to handle an increasing number of variables or complexity.
  • Control system scalability: The ability of a control system to handle increasing complexity or size of the system.
  • Control system security incident communication: The process of disseminating information about security incidents in a control system to stakeholders and relevant parties.
  • Control system security incident communication: The process of disseminating information about security incidents in control systems to stakeholders and relevant parties.
  • Control system security incident documentation: The process of creating and maintaining records of security incidents in a control system.
  • Control system security incident documentation: The process of creating and maintaining records of security incidents in control systems.
  • Control system security incident investigation: The process of determining the root cause of a security incident in a control system.
  • Control system security incident investigation: The process of determining the root cause of security incidents in control systems.
  • Control system security incident management system: Software or technology used to manage and track security incidents in a control system.
  • Control system security incident management system: Software or technology used to manage and track security incidents in control systems.
  • Control system security incident management: The process of identifying, responding to, and resolving security incidents in a control system.
  • Control system security incident management: The process of identifying, responding to, and resolving security incidents in control systems.
  • Control system security incident recovery: The process of restoring normal operations and data integrity in a control system following a security incident.
  • Control system security incident recovery: The process of restoring normal operations and data integrity in control systems following a security incident.
  • Control system security incident response communication guidance: The process of providing guidance and best practices for communicating about security incidents in control systems.
  • Control system security incident response communication management: The process of implementing, maintaining and ensuring effective communication about security incidents in control systems.
  • Control system security incident response communication plan: A plan outlining the procedures and protocols for communicating about security incidents in control systems.
  • Control system security incident response communication review: The process of conducting a review of the communication about security incidents in control systems to assess its effectiveness.
  • Control system security incident response communication strategy: A strategy for communicating effectively about security incidents in control systems.
  • Control system security incident response communication template: A pre-defined format for communicating about security incidents in control systems.
  • Control system security incident response communication tool: Software or technology used to manage and facilitate communication about security incidents in control systems.
  • Control system security incident response communication training: The process of providing training to personnel to improve their communication skills related to security incidents in control systems.
  • Control system security incident response continuity communication: The process of disseminating information about continuity of operations and services during and after security incidents in control systems to stakeholders and relevant parties.
  • Control system security incident response continuity documentation: The process of creating and maintaining records of continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity guidance: The process of providing guidance and best practices for maintaining continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity management: The process of implementing, maintaining and ensuring effective continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity plan: A plan outlining the procedures and protocols for maintaining critical operations and services in control systems during and after a security incident.
  • Control system security incident response continuity readiness: The level of preparedness of an organization to maintain continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity review: The process of conducting a review of the continuity of operations and services during and after security incidents in control systems to assess its effectiveness.
  • Control system security incident response continuity testing: The process of testing the continuity procedures in control systems in a non-live environment.
  • Control system security incident response continuity tool: Software or technology used to manage and facilitate continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity training: The process of providing training to personnel on how to maintain continuity of operations and services during and after security incidents in control systems.
  • Control system security incident response continuity: The process of maintaining critical operations and services in control systems during and after a security incident.
  • Control system security incident response documentation archiving: The process of transferring incident response documentation in control systems to long-term storage for historical or compliance purposes.
  • Control system security incident response documentation compliance: The process of ensuring incident response documentation in control systems adheres to laws, regulations, standards, and best practices.
  • Control system security incident response documentation guidance: The process of providing guidance and best practices for documenting incident response activities in control systems.
  • Control system security incident response documentation management: The process of implementing, maintaining and ensuring effective documentation of incident response activities in control systems.
  • Control system security incident response documentation retention: The process of maintaining incident response documentation in control systems for a specific period of time.
  • Control system security incident response documentation review: The process of reviewing and evaluating incident response documentation in control systems.
  • Control system security incident response documentation template: A pre-defined format for documenting incident response activities in control systems.
  • Control system security incident response documentation tool: Software or technology used to manage and facilitate documentation of incident response activities in control systems.
  • Control system security incident response documentation training: The process of providing training to personnel on how to document incident response activities in control systems.
  • Control system security incident response documentation validation: The process of verifying the accuracy and completeness of incident response documentation in control systems.
  • Control system security incident response documentation: The process of creating and maintaining records of the incident response activities in control systems.
  • Control system security incident response exercise communication: The process of disseminating information about incident response exercises in control systems to stakeholders and relevant parties.
  • Control system security incident response exercise debrief: A review of the incident response exercise in control systems, including lessons learned and areas for improvement.
  • Control system security incident response exercise documentation: The process of creating and maintaining records of incident response exercises in control systems.
  • Control system security incident response exercise evaluation: The process of evaluating the effectiveness of incident response procedures and protocols in control systems during an exercise.
  • Control system security incident response exercise execution: The process of conducting incident response exercises in control systems.
  • Control system security incident response exercise guidance: The process of providing guidance and best practices for incident response exercises in control systems.
  • Control system security incident response exercise management: The process of implementing, maintaining and ensuring effective incident response exercises in control systems.
  • Control system security incident response exercise planning: The process of planning and organizing incident response exercises in control systems.
  • Control system security incident response exercise report: A document detailing the results of an incident response exercise in control systems.
  • Control system security incident response exercise tool: Software or technology used to manage and facilitate incident response exercises in control systems.
  • Control system security incident response exercise: A simulated security incident in control systems that is used to test incident response procedures and protocols.
  • Control system security incident response exercises: The process of simulating security incidents in control systems to test incident response procedures and train personnel.
  • Control system security incident response forensics analysis: The process of interpreting and understanding digital evidence in control systems to investigate security incidents.
  • Control system security incident response forensics chain of custody: The process of maintaining a record of the handling and transfer of digital evidence in control systems.
  • Control system security incident response forensics guidance: The process of providing guidance and best practices for forensics activities in control systems.
  • Control system security incident response forensics imaging: The process of creating a copy of digital evidence in control systems.
  • Control system security incident response forensics investigation: The process of determining the cause and extent of a security incident in control systems using digital evidence.
  • Control system security incident response forensics management: The process of implementing, maintaining and ensuring effective forensics activities in control systems.
  • Control system security incident response forensics preservation: The process of maintaining the integrity of digital evidence in control systems.
  • Control system security incident response forensics report: A document detailing the findings of a digital forensic investigation of a security incident in control systems.
  • Control system security incident response forensics review: The process of conducting a review of the forensics activities to assess its effectiveness.
  • Control system security incident response forensics tool: Software or technology used to collect, analyze and preserve digital evidence in control systems.
  • Control system security incident response forensics: The process of collecting, analyzing and preserving digital evidence in control systems to investigate security incidents.
  • Control system security incident response monitoring alert: A notification of a potential security incident in control systems.
  • Control system security incident response monitoring correlation: The process of analyzing multiple data sources to identify patterns and relationships that indicate a security incident.
  • Control system security incident response monitoring guidance: The process of providing guidance and best practices for monitoring security incidents in control systems.
  • Control system security incident response monitoring management: The process of implementing, maintaining and ensuring effective monitoring of security incidents in control systems.
  • Control system security incident response monitoring response: The actions taken in response to a security incident in control systems.
  • Control system security incident response monitoring review: The process of conducting a review of the monitoring activities to assess its effectiveness.
  • Control system security incident response monitoring strategy: A strategy for continuously monitoring control systems for security incidents.
  • Control system security incident response monitoring system: Software or technology used to monitor control systems for security incidents.
  • Control system security incident response monitoring threshold: The level at which an event or activity is considered a security incident and triggers an incident response.
  • Control system security incident response monitoring tool: Software or technology used to manage and facilitate monitoring of security incidents in control systems.
  • Control system security incident response monitoring: The process of continuously observing and analyzing the state of control systems to detect and respond to security incidents.
  • Control system security incident response plan: A plan outlining the procedures and protocols for responding to security incidents in a control system.
  • Control system security incident response plan: A plan outlining the procedures and protocols for responding to security incidents in control systems.
  • Control system security incident response post-mortem: The process of conducting a review after a security incident to understand what happened, why it happened, and how to prevent it from happening again.
  • Control system security incident response readiness assessment: The process of evaluating the readiness of an organization to respond to security incidents in control systems.
  • Control system security incident response readiness communication: The process of disseminating information about readiness to respond to security incidents in control systems to stakeholders and relevant parties.
  • Control system security incident response readiness documentation: The process of creating and maintaining records of readiness to respond to security incidents in control systems.
  • Control system security incident response readiness management: The process of implementing, maintaining and ensuring readiness to respond to security incidents in control systems.
  • Control system security incident response readiness plan: A plan outlining the procedures and protocols for ensuring readiness to respond to security incidents in control systems.
  • Control system security incident response readiness review: The process of conducting a post-incident analysis to assess the readiness of the organization to respond to security incidents in control systems.
  • Control system security incident response readiness team: A dedicated team responsible for ensuring readiness to respond to security incidents in control systems.
  • Control system security incident response readiness testing: The process of testing the readiness of an organization to respond to security incidents in control systems.
  • Control system security incident response readiness tool: Software or technology used to manage and track readiness to respond to security incidents in control systems.
  • Control system security incident response readiness training: The process of providing training to personnel to prepare them for responding to security incidents in control systems.
  • Control system security incident response readiness: The level of preparedness of an organization to respond to security incidents in control systems.
  • Control system security incident response recovery communication: The process of disseminating information about recovery from security incidents in control systems to stakeholders and relevant parties.
  • Control system security incident response recovery documentation: The process of creating and maintaining records of recovery activities from security incidents in control systems.
  • Control system security incident response recovery guidance: The process of providing guidance and best practices for recovering from security incidents in control systems.
  • Control system security incident response recovery management: The process of implementing, maintaining and ensuring effective recovery from security incidents in control systems.
  • Control system security incident response recovery plan: A plan outlining the procedures and protocols for restoring normal operations and data integrity in control systems after a security incident.
  • Control system security incident response recovery readiness: The level of preparedness of an organization to recover from security incidents in control systems.
  • Control system security incident response recovery review: The process of conducting a review of the recovery activities from security incidents in control systems to assess its effectiveness.
  • Control system security incident response recovery testing: The process of testing the recovery procedures in control systems in a non-live environment.
  • Control system security incident response recovery tool: Software or technology used to manage and facilitate recovery from security incidents in control systems.
  • Control system security incident response recovery training: The process of providing training to personnel on how to recover from security incidents in control systems.
  • Control system security incident response recovery: The process of restoring normal operations and data integrity in control systems after a security incident.
  • Control system security incident response reporting: The process of providing information about security incidents in control systems to relevant stakeholders and authorities.
  • Control system security incident response team: A dedicated team responsible for responding to and managing security incidents in a control system.
  • Control system security incident response team: A dedicated team responsible for responding to and managing security incidents in control systems.
  • Control system security incident response testing: The process of testing incident response procedures in control systems in a non-live environment.
  • Control system security incident response training certification: The process of certifying personnel as proficient in incident response procedures and protocols in control systems.
  • Control system security incident response training communication: The process of disseminating information about incident response training in control systems to stakeholders and relevant parties.
  • Control system security incident response training curriculum: The set of topics and materials covered in an incident response training program in control systems.
  • Control system security incident response training documentation: The process of creating and maintaining records of incident response training in control systems.
  • Control system security incident response training evaluation: The process of evaluating the effectiveness of incident response training in control systems.
  • Control system security incident response training guidance: The process of providing guidance and best practices for incident response training in control systems.
  • Control system security incident response training management: The process of implementing, maintaining and ensuring effective incident response training in control systems.
  • Control system security incident response training program: A structured program to train personnel on incident response procedures and protocols in control systems.
  • Control system security incident response training simulation: A simulated incident used to train personnel on incident response procedures and protocols in control systems.
  • Control system security incident response training tool: Software or technology used to manage and facilitate incident response training in control systems.
  • Control system security incident response training: The process of providing knowledge and skills related to security incident response to relevant personnel in a control system.
  • Control system security incident response training: The process of providing knowledge and skills related to security incident response to relevant personnel in control systems.
  • Control system security incident response training: The process of providing training to personnel on incident response procedures and protocols in control systems.
  • Control system security incident review: The process of conducting a post-incident analysis to assess the effectiveness of the incident response and identify areas for improvement.
  • Control system security incident: An event or occurrence that poses a threat to the security of a control system.
  • Control system security: The measures and practices implemented to protect control systems and the data they process from unauthorized access, manipulation, or damage.
  • Control system security: The practice of protecting control systems from unauthorized access, intrusion, or other malicious activities.
  • Control system security: The process of protecting a control system from unauthorized access or malicious attacks.
  • Control system simulation: The process of using a computer model to study the behavior of a control system.
  • Control system simulation: The process of using computer models to study the behavior of a control system.
  • Control system software: The computer programs and algorithms that make up the control system.
  • Control system stability: The study of the conditions under which a control system will maintain a desired behavior over time.
  • Control system standardization: The use of standardized protocols, technologies, and methods for control systems.
  • Control system testing: The process of evaluating the performance of a control system under different conditions.
  • Control system theory: The study of mathematical models and methods for analyzing and designing control systems.
  • Control system threat hunting: The process of proactively searching for and identifying potential threats to a control system.
  • Control system threat intelligence: The process of collecting, analyzing, and disseminating information about threats to control systems and their data.
  • Control system threat management: The process of identifying, assessing, and mitigating threats to control systems and their data.
  • Control system threat modeling: The process of identifying, assessing, and mitigating threats to control systems and their data by modeling potential attack scenarios.
  • Control system troubleshooting: The process of diagnosing and resolving problems with a control system.
  • Control system troubleshooting: The process of identifying and resolving problems with a control system.
  • Control system upgrade: The process of improving the performance or functionality of a control system.
  • Control system validation: The process of verifying that a control system behaves as expected in different operating conditions.
  • Control system verification: The process of determining whether a control system meets its requirements and specifications.
  • Control system version management: The process of managing and controlling versions of control systems and their components.
  • Control system vulnerability management: The process of identifying, assessing, and mitigating vulnerabilities in control systems and their components.
  • Control systems analysis: The process of studying the behavior of a control system using mathematical tools and methods.
  • Control systems applications: The use of control systems in various fields such as aerospace, robotics, automotive, healthcare, and many more.
  • Control systems design: The process of creating a control system by selecting the appropriate control algorithms and tuning the control parameters.
  • Control systems engineering: The interdisciplinary field that deals with the design, implementation, and analysis of control systems.
  • Control systems modeling: The process of representing a system mathematically in order to study its behavior.
  • Control systems simulation: The process of using computer models to study the behavior of a control system.
  • Control systems synthesis: The process of finding the control inputs that achieve a desired performance for a given system.
  • Control Terminology Definitions
  • Control theory: The branch of engineering and mathematics that deals with the design, analysis, and implementation of control systems.
  • Controllability: The ability of a control system to move the system from any initial state to any desired final state.
  • Cooperative control: A control system that coordinates the actions of multiple agents or subsystems to achieve a common goal.
  • Cyber-physical control: A control system that integrates control, computation and communication in cyber-physical systems.
  • Decentralized control: A control system that distributes control actions among multiple subsystems or devices.
  • Derivative control: A control system in which the input is based on the rate of change of the error.
  • Distributed control: A control system in which the control actions are distributed among multiple devices or subsystems.
  • Disturbance rejection: The ability of a control system to maintain its desired output despite the presence of external disturbances.
  • Embedded control: A control system that is integrated into a larger system or equipment.
  • Event-triggered control: A control system that only updates the control inputs when certain conditions are met, rather than at a fixed rate.
  • Fault detection: The process of identifying the presence of a fault in a control system.
  • Fault diagnosis: The process of identifying the cause of a fault in a control system.
  • Fault isolation: The process of identifying the location of a fault in a control system.
  • Fault-tolerant control allocation: The process of determining the optimal control inputs for a system with multiple control inputs and constraints, in the presence of faults or failures.
  • Fault-tolerant control: A control system that can continue to operate in the presence of faults or failures.
  • Fault-tolerant design: The process of designing a control system to be robust to faults or failures.
  • Feedback control: A control system in which the output is measured and used to adjust the input in order to achieve a desired output.
  • Feedforward control: A control method in which the control input is based on the desired output rather than the error.
  • Flight control: A control system that regulates the behavior of an aircraft.
  • Formation control: A control system that coordinates the motion of multiple agents or vehicles to form a desired shape or pattern.
  • Hamilton-Jacobi-Bellman (HJB) equation: A partial differential equation used in dynamic programming to find the optimal control policy for a system.
  • Human-in-the-loop control: A control system that involves human operators in the control process.
  • Human-machine interface (HMI): The interface between a control system and its human operators.
  • Hybrid systems: A control system that involves both continuous-time dynamics and discrete-time events.
  • Hybrid systems: Control system that involves both continuous-time and discrete-time dynamics.
  • Industrial control: A control system that is used in industrial applications such as manufacturing, process control, and power generation.
  • Integral control: A control system in which the input is the accumulated error over time.
  • Intelligent control: A control system that uses artificial intelligence techniques such as machine learning, expert systems, or fuzzy logic to improve its performance.
  • Linear matrix inequality (LMI): A set of linear constraints that are used in control theory and optimization to find the solutions of certain problems.
  • Linear Quadratic Gaussian (LQG) control: A control method that combines LQR control and Kalman filtering to optimize the performance of the system.
  • Linear quadratic regulator (LQR): A control method that uses a linear quadratic cost function to determine the optimal control input for a linear system.
  • Linear quadratic tracking (LQT): A control method that is used to track a reference signal with a linear system.
  • LQR control: A control method that optimizes the system’s performance based on a cost function.
  • Lyapunov stability: A system is said to be Lyapunov stable if it is stable and the trajectories of the system approach a particular state.
  • Mechatronics: The field of engineering that deals with the integration of mechanical, electrical, and computer systems in order to control the behavior of machines or robots.
  • Model predictive control: A control method that uses a model of the system to predict the future behavior and optimizes the control inputs based on the predictions.
  • Model reduction: A method that simplifies a complex model of a system into a simpler one while preserving certain important properties of the original model.
  • Motion control: A control system that coordinates the movement of a machine or a robot.
  • Multi-agent control: A control system that coordinates the actions of multiple autonomous agents.
  • Multi-robot control: A control system that coordinates the actions of multiple robots.
  • Multi-vehicle control: A control system that coordinates the motion of multiple vehicles or robots.
  • Navigation control: A control system that regulates the movement of a vehicle or an autonomous system.
  • Networked control: A control system that uses communication networks to exchange information among the control devices.
  • Non-linear control: Control system that deals with non-linear systems
  • Nonlinear control: Control system that deals with nonlinear systems.
  • Nonlinear Model Predictive Control (NMPC): A control method that uses a nonlinear model of the system to predict the future behavior and optimizes the control inputs based on the predictions.
  • Nyquist plot: A graphical representation of the stability of a system, showing the locations of the closed-loop poles in the complex plane.
  • Observability: The ability of a control system to determine the state of the system based on the output measurements.
  • Observer: A system that estimates the state of the system based on the output measurements.
  • Open-loop control: A control system in which the output is not used to adjust the input.
  • Optimal control: A control method that seeks to minimize a certain performance measure or cost function.
  • Optimal control: A control system that seeks to minimize a certain performance measure or cost function.
  • PID control: A control system that uses proportional, integral, and derivative control in order to achieve a desired output.
  • Pontryagin’s minimum principle: A mathematical principle used in optimal control theory to determine the optimal control input for a system.
  • Predictive control: A control system that uses a model of the system to predict its future behavior and adjusts the control inputs accordingly.
  • Process control: A control system that regulates industrial processes.
  • Proportional control: A control system in which the input is proportional to the error between the desired output and the actual output.
  • Real-time control: A control system that operates in real-time, meaning that the control inputs are calculated and applied to the system at the same rate as the system’s dynamics.
  • Reinforcement learning control: A control system that learns an optimal control policy through trial-and-error interactions with the system.
  • Robust control: A control method that is designed to be insensitive to small disturbances and changes in the system parameters.
  • Root locus: A graphical representation of the possible closed-loop poles of a system as a parameter is varied.
  • Safety-critical control: A control system that is responsible for ensuring the safety of human life or equipment.
  • Safety-critical design: The process of designing a control system to meet safety requirements.
  • Sampled-data control: A control system that uses discrete-time measurements and control inputs, rather than continuous-time.
  • Self-tuning control: A control system that automatically tunes its own control parameters based on the system’s behavior.
  • Sliding mode control: A control method that uses a sliding surface to ensure that the system stays on a particular trajectory.
  • Stability: The ability of a control system to maintain its desired output over time.
  • State feedback: A control method in which the state of the system is used as the input to the control system.
  • State space: A mathematical representation of a system in which the variables are the state of the system at a given time.
  • Stochastic control: A control system that deals with random disturbances or uncertainty in the system.
  • Stochastic optimal control: A control system that seeks to minimize a certain performance measure or cost function in the presence of random disturbances or uncertainty.
  • Supervisory control: A control system that oversees and coordinates the actions of multiple lower-level control systems.
  • Swarm control: A control system that coordinates the actions of multiple agents or robots to achieve a common goal.
  • Switched systems: A control system that includes multiple subsystems that can be activated or deactivated based on certain conditions.
  • Trajectory tracking: A control task that requires the system to follow a pre-defined trajectory.

The list above contains information pertaining to control systems and data governance.