DocumentCode
3319331
Title
Stability Conditions for Fuzzy Control Systems with Fuzzy Feedback Gains
Author
Lam, H.K. ; Yeung, C.W. ; Leung, F.H.F.
Author_Institution
King´´s Coll. London, London
fYear
2007
fDate
23-26 July 2007
Firstpage
1
Lastpage
6
Abstract
This paper presents the stability analysis of fuzzy-model-based control systems. A fuzzy controller with fuzzy feedback gains is proposed to control a nonlinear system represented by the T-S fuzzy model. The fuzzy feedback gains effectively enhance the nonlinearity of the fuzzy controller to strengthen the stabilization ability. To facilitate the stability analysis and reduce the computational demand, the fuzzy controller is separated from the fuzzy model by a particular system representation during analysis. Consequently, the number of stability conditions can be reduced to ease the finding of the solution. Two cases of fuzzy controller design, namely the fuzzy controller employs the same and different membership functions as those of the fuzzy plant model, are considered for various applications. Simulation examples are given to illustrate the merits of the proposed approach.
Keywords
control nonlinearities; control system synthesis; feedback; functions; fuzzy control; nonlinear control systems; stability; Takagi-Sugeno fuzzy model; control nonlinearity; fuzzy controller design; fuzzy feedback gains; fuzzy-model-based control systems; membership functions; nonlinear system; stability analysis; Control system synthesis; Control systems; Cost function; Feedback; Fuzzy control; Fuzzy systems; Nonlinear control systems; Robust control; Robust stability; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location
London
ISSN
1098-7584
Print_ISBN
1-4244-1209-9
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2007.4295609
Filename
4295609
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