DocumentCode
2275109
Title
Design of stable recurrent fuzzy-logic-controllers
Author
Hu, Yiwae ; Ramamoorthy, P. A Puma
Author_Institution
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
918
Abstract
Controllers based on fuzzy logic belong to the class of static or memoryless nonlinear controllers and provide better control than is possible using linear control. The major strength of fuzzy controllers lies in the way a nonlinear output mapping of a number of inputs can be specified easily using fuzzy linguistic variables and fuzzy rules. When we use fuzzy logic in feedback control, we in effect have a nonlinear system with feedback and the resulting system could potentially become unstable. In this work, we show how we can design feedback systems (with fuzzy control) that are guaranteed to be stable. This approach can also be used to design stand-alone feedback fuzzy systems (or recurrent fuzzy systems) that are guaranteed to be stable
Keywords
control system synthesis; feedback; fuzzy control; fuzzy logic; nonlinear control systems; stability; feedback control; fuzzy linguistic variables; fuzzy rules; memoryless nonlinear controllers; nonlinear output mapping; stability; stable recurrent fuzzy logic controllers; Control systems; Feedback; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Nonlinear control systems; Nonlinear systems; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343857
Filename
343857
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