Expert control system
Lee, Tong Heng Centre for Intelligent Control, Department of Electrical Engineering, National University of Singapore, Singapore.
Tan, Kok Kiong Centre for Intelligent Control, Department of Electrical Engineering, National University of Singapore, Singapore.
Hang, Chang Chieh Centre for Intelligent Control, Department of Electrical Engineering, National University of Singapore, Singapore.
Tan, Kay Chen Centre for Intelligent Control, Department of Electrical Engineering, National University of Singapore, Singapore.
Woon, Lim Cheng Centre for Intelligent Control, Department of Electrical Engineering, National University of Singapore, Singapore.
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A type of intelligent control system which can emulate the reasoning procedures of a human expert in order to generate the necessary control action. Expert control systems seek to incorporate knowledge about control system design, practical operations, and abnormal system recovery plans to automate tasks normally performed by experienced control engineers (the experts). Techniques relating to the field of artificial intelligence are usually used for the purpose of acquiring and representing knowledge and for generating control decisions through an appropriate reasoning mechanism. As it operates essentially on a knowledge base, an expert control system is often referred to as a knowledge-based control system. One of the most important benefits associated with the use of an expert control system is the inherent capability of the system to deal with uncertainty in information. Information provided to these systems need not be complete or precise. It can be general, qualitative, or vague. These properties do not cause difficulty because, like humans, expert control systems possess functionalities to perceive, reason, infer, and deduce new information. They can learn, gain new knowledge, and improve their performance through experience.
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