Vocabulary for Describing Cybernetics and Control Systems

  • Cybernetics: The study of how to control complex systems and processes.
  • Control Systems: A set of devices, algorithms, and procedures used to regulate the behavior of a system.
  • Feedback: Information about the performance of a system that is used to make adjustments and improve its performance.
  • Algorithm: A set of instructions for performing a task or solving a problem.
  • Automation: The use of technology to perform tasks without human intervention.
  • Robotics: The branch of technology concerned with the design, construction, and use of robots.
  • Artificial Intelligence: The development of computer systems that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
  • Machine Learning: A subfield of artificial intelligence that focuses on the development of algorithms and statistical models that allow computers to learn from and make predictions based on data.
  • Neural Networks: A type of machine learning algorithm modeled after the structure and function of the human brain.
  • Control Theory: The study of how to design control systems to achieve desired performance and stability.
  • Systems Theory: The study of how to design and analyze systems, including their structure, behavior, and interactions.
  • Sensors: Devices that measure physical or environmental conditions and provide input to control systems.
  • Actuators: Devices that convert input from control systems into physical actions.
  • Cybersecurity: The protection of computer systems and networks from unauthorized access, theft, and damage.

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