DocumentCode
3474912
Title
Fuzzy logic control: a systematic design methodology
Author
Wang, B.H. ; Vachtsevanos, G.
Author_Institution
Sch. of Electr. Eng., Goergia Inst. of Technol., Atlanta, GA, USA
fYear
1991
fDate
11-13 Dec 1991
Firstpage
1219
Abstract
The authors present a systematic methodology for the design of a fuzzy logic control system. The basic design idea is the concept of an indirect control approach where selection of control parameters relies on the estimates of the process parameters. In the formulation of the fuzzy control problem, the process relation and the desired transition relation play an important role. In the proposed approach, an offline fuzzy identification scheme is used to identify the process relation of the unknown plant; an optimal control algorithm, based on the cell state space, is used to specify the desired transition relation. The use of the transition relation makes it possible to design the fuzzy optimal control systematically
Keywords
control system synthesis; fuzzy control; optimal control; cell state space; control design; fuzzy logic control system; identification; offline fuzzy identification scheme; optimal control algorithm; process relation; systematic design methodology; transition relation; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Nonlinear dynamical systems; Optimal control; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-0450-0
Type
conf
DOI
10.1109/CDC.1991.261566
Filename
261566
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