Title :
A review of artificial intelligence in feedback control
Author :
Karetnyk, D.G. ; Grant, E. ; McGregor, D.R.
Author_Institution :
Dept. of Comput. Sci., Strathclyde Univ., UK
Abstract :
The use of knowledge-based techniques in feedback control is reviewed. Fuzzy linguistic control, qualitative causal control, and procedural control, as well as reinforcement learning and induction, are discussed. A brief comparison of these techniques in terms of some key characteristics is presented
Keywords :
artificial intelligence; computational linguistics; feedback; fuzzy logic; knowledge based systems; learning systems; artificial intelligence; feedback control; fuzzy linguistic control; induction; knowledge-based techniques; learning; procedural control; qualitative causal control; Artificial intelligence; Automatic control; Control systems; Fault diagnosis; Feedback control; Fuzzy control; Industrial control; Laboratories; Monitoring; Process control;
Conference_Titel :
Intelligent Control, 1988. Proceedings., IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2012-9
DOI :
10.1109/ISIC.1988.65402
