一类非线性系统的自适应模糊观测器设计

Journal of Applied Sciences ›› 2008, Vol. 26 ›› Issue (1): 89-89 .

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Adaptive Fuzzy Observer Design for a Class of Nonlinear System

WANG Yong-fu1, 2, ZHAO Hong2, LIU Ji-ren2, CHAI Tian-you3

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China;
2. Software Center, Northeastern University, Shenyang 110004, China;
3. Automation Center, Northeastern University, Shenyang 110004, China

Received:2007-06-18 Revised:2007-08-26 Online:2008-01-31 Published:2008-01-31

Abstract

Abstract: We propose a method of adaptive fuzzy observer design for a class of uncertain nonlinear systems. The observer uses fuzzy system to approximate nonlinear functions so that the structure and parameters of the observed object are not needed in the design. The estimation error, approximation error and external disturbance are supervised by a robust term to provide favorable observation performance. This observer is an extension for the nonlinear Luenberger adaptive observer. Effectiveness of the method is proven theoretically and verified in simulation.

Key words: fuzzy system, state observer, nonlinear system, adaptive

WANG Yong-fu;ZHAO Hong;LIU Ji-ren;CHAI Tian-you. Adaptive Fuzzy Observer Design for a Class of Nonlinear System[J]. Journal of Applied Sciences, 2008, 26(1): 89-89 .

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URL: https://www.jas.shu.edu.cn/EN/

https://www.jas.shu.edu.cn/EN/Y2008/V26/I1/89

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