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Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.
Instrumentation and control engineering is a vital field of study offered at many universities worldwide at both the graduate and postgraduate levels. This discipline integrates principles from various branches of engineering, providing a comprehensive understanding of the design, analysis, and management of automated systems.
Real-time Control System (RCS) is a reference model architecture, suitable for many software-intensive, real-time computing control problem domains. It defines the types of functions needed in a real-time intelligent control system , and how these functions relate to each other.
Control engineering – engineering discipline that applies control theory to design systems with desired behaviors. The practice uses sensors to measure the output performance of the device being controlled and those measurements can be used to give feedback to the input actuators that can make corrections toward desired performance.
When the links in the tree are implemented by a computer network, then that hierarchical control system is also a form of networked control system. Intelligent control uses various AI computing approaches like artificial neural networks, Bayesian probability, fuzzy logic, [22] machine learning, evolutionary computation and genetic algorithms or ...
Protective relay is an example of an intelligent electronic device. In the electric power industry, an intelligent electronic device (IED) is an integrated microprocessor-based controller of power system equipment, such as circuit breakers, transformers and capacitor banks. [1]
Control systems play a critical role in space flight.. Control engineering, also known as control systems engineering and, in some European countries, automation engineering, is an engineering discipline that deals with control systems, applying control theory to design equipment and systems with desired behaviors in control environments. [1]
Smart systems are systems (usually computer systems or electronic system) which are able to incorporate and perform functions of sensing, actuation, and control in order to analyze a situation, based on acquired data and perform decisions in a predictive or adaptive manner, thereby performing smart actions.
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