Title :
Control and estimation of fuzzy systems
Author_Institution :
State University of New York at Stony Brook, Stony Brook, New York
Abstract :
Guaranteed cost control and estimation of fuzzy systems are obtained by the method of fuzzy dynamic programming. Three types of models are selected to describe the fuzzy systems: 1. Systems with uncertain parameters. 2. Systems with Donati´s approximation in the norm. 3. Systems with extended approximation in the norm. In the latter two cases, minimax control is generally obtainable, and is shown to be the guaranteed cost control with lowest guaranteed cost. Using the concept of most likely estimation the estimation problem is formulated into a similar variational problem, and is solved by essentially the same analysis.
Keywords :
Control engineering; Control systems; Costs; Fuzzy control; Fuzzy systems; Mathematical model; Minimax techniques; Physics;
Conference_Titel :
Decision and Control including the 13th Symposium on Adaptive Processes, 1974 IEEE Conference on
Conference_Location :
Phoenix, AZ, USA
DOI :
10.1109/CDC.1974.270453
