DocumentCode :
3226805
Title :
Fuzzy model-based adaptive control of nonlinear systems
Author :
Noureddine, Golea ; Amar, Golea
Author_Institution :
EE Institute, Oum-El-Bouaghi Univ., Algeria
Volume :
3
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
1504
Abstract :
Based on the universal approximation capability of the Takagi-Seguno (TS) fuzzy systems, we present a solution to the model reference control of continuous time nonlinear systems problem. Using the assumption that a fuzzy model exists for the considered nonlinear systems class, a direct TS fuzzy adaptive controller is designed to achieve the tracking objective. It is not required to estimate the fuzzy model, only its existence assumption is required. The proposed adaptive scheme is asymptotically stable, and the. tracking error converges to zero. Simulation results illustrate the proposed algorithm performance.
Keywords :
adaptive control; fuzzy systems; model reference adaptive control systems; nonlinear control systems; Takagi-Seguno fuzzy systems; adaptive control; continuous-time nonlinear systems; fuzzy adaptive controller; model reference control; nonlinear systems; stability; Adaptive control; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1182614
Filename :
1182614
Link To Document :
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