DocumentCode :
3239375
Title :
“Model-free” stability analysis for continuous-time fuzzy control systems
Author :
Cao, S.G. ; Rees, N.W. ; Feng, G.
Author_Institution :
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
Volume :
3
fYear :
1996
fDate :
8-11 Sep 1996
Firstpage :
1532
Abstract :
The essential characteristics of fuzzy logic control are analyzed in this paper. The locality of fuzzy control and the interpolation among fuzzy rules may be the most important characteristics of fuzzy control systems. Based on these two characteristics a new Lyapunov-like stability analysis approach is developed for both Mamdani and Takagi-Sugeno type fuzzy control systems. In this approach we apply the theory of generalized dynamical systems. Thus, the method can be used for both model-free and model-based fuzzy controller designs
Keywords :
Lyapunov methods; asymptotic stability; continuous time systems; control system analysis; fuzzy control; interpolation; Mamdani type system; Takagi-Sugeno type system; asymptotic stability; continuous-time systems; dynamical systems; fuzzy control; fuzzy rules; interpolation; Control systems; Design methodology; Differential equations; Fuzzy control; Fuzzy sets; Fuzzy systems; Input variables; Interpolation; Stability analysis; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
Type :
conf
DOI :
10.1109/FUZZY.1996.552560
Filename :
552560
Link To Document :
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