DocumentCode :
498996
Title :
Observer-based variable universe fuzzy control with dynamic self-structure
Author :
Lu, Yong-kun ; Xia, Chao-ying
Author_Institution :
Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
743
Lastpage :
748
Abstract :
An improved observer-based robust adaptive variable universe fuzzy control is proposed in this paper. The structure of fuzzy system is on-line tuned by the dynamic self-structure method except scaling gains adjusted by adaptive laws. The global stability of the resulting closed-loop system is also guaranteed. The proposed controller has not only simplified design for the initial structure of fuzzy system compared with the original controller, but also less fuzzy approximation error with dynamic structure. First, the principle of the observer-based robust adaptive variable universe fuzzy control is presented briefly. Then, the method of dynamic self-structure is given. The proposed improved variable universe fuzzy control is applied to the control of the Duffing chaotic system. The feasibility for practical application is confirmed by simulation results.
Keywords :
adaptive control; closed loop systems; fuzzy control; fuzzy systems; nonlinear control systems; observers; robust control; Duffing chaotic system; adaptive law; closed-loop system; dynamic self-structure; fuzzy approximation error; fuzzy system; global stability; observer-based robust adaptive variable universe fuzzy control; Adaptive control; Chaos; Control systems; Cybernetics; Fuzzy control; Fuzzy systems; Machine learning; Nonlinear dynamical systems; Programmable control; Robust control; Chaotic system; Dynamic self-structure; Fuzzy approximation error; On-line; Simplified design; Structure of fuzzy system; Variable universe fuzzy control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212427
Filename :
5212427
Link To Document :
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