An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System

Author:

Yu Sung-Hoon1,Kim Yong-Tae2,Park Chang-Woo3,Hyun Chang-Ho4

Affiliation:

1. School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea

2. Department of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong, Gyeonggi, Republic of Korea

3. Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, Gyeonggi, Republic of Korea

4. School of Electrical, Electronic and Control Engineering, Kongju National University, Cheonan, Chungnam, Republic of Korea

Abstract

This paper proposes an alternative optimal fuzzy high-gain observer design scheme. The structure of the proposed observer is represented by the Takagi-Sugeno fuzzy model and has the integrator of the estimation error. It improves the performance of a high-gain observer and makes the observer robust against noisy measurements, uncertainties and parameter perturbation. The proposed observer adopts the [Formula: see text] control technique and an adaptive projection algorithm. This technique results in a reduction of both the fuzzy approximation error and time-varying disturbances. In addition, the proposed observer accomplishes a fast transient response and parameter convergence. Some simulation results are given to present the validity of the theoretical derivations and the performance of the proposed observer.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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