Observer-based variable universe fuzzy control with dynamic self-structure

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 g...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 743 - 748
Main Authors Yong-Kun Lu, Chao-Ying Xia
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Adaptive control
Chaos
Chaotic system
Control systems
Cybernetics
Dynamic self-structure
Fuzzy approximation error
Fuzzy control
Fuzzy systems
Machine learning
Nonlinear dynamical systems
On-line
Programmable control
Robust control
Simplified design
Structure of fuzzy system
Variable universe fuzzy control
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212427