Title :
Design of cognitive feedback controller
Author_Institution :
Coll. of Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
The author outlines a cognitive approach to the design of a feedback controller for complex systems. The design of the cognitive controller follows the following steps: (i) approximate mathematical modeling of the plant using fuzzy logic; (ii) an approximate design of the control structure and control parameters using fuzzy logic; (iii) defuzzification of the control structure and its implementation using nonlinear functions; and (iv) implementation of such a controller with fine tuning of the parameters. Thus, in the design states of such a cognitive controller, use is made of the cognitive knowledge of the human operator/engineer. However, the final implementation of the controller uses a nonlinear function approach
Keywords :
cognitive systems; control system synthesis; feedback; fuzzy logic; approximate mathematical modeling; cognitive feedback controller; cognitive knowledge; cognitive systems; control system synthesis; defuzzification; fuzzy logic; nonlinear function approach; Adaptive control; Algorithm design and analysis; Control systems; Damping; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Gain; Heuristic algorithms;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194285