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Robust Fuzzy Tracking Control of Nonlinear Systems with Uncertainty via T-S Fuzzy model

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posted on 2023-06-07, 20:24 authored by Jian Zhang, Minrui Fei, Tai Yang, Yuemei Tan
This paper presents a novel robust fuzzy tracking control method for uncertain nonlinear systems. The Takagi-Sugeno fuzzy model is employed for fuzzy modeling of uncertain nonlinear system. Based on the fuzzy model, the internal model principle (IMP) is adopted to design the robust fuzzy tracking controller. Then the robust fuzzy observer is designed independently. Sufficient conditions are derived for stabilization of the robust fuzzy tracking controller and the robust fuzzy observer in the sense of Lyapunov asymptotic stability. The main contribution of this paper is the development of the robust fuzzy tracking control based on the internal model principle of uncertain nonlinear systems. A simulation example is given to illustrate the design procedures and asymptotic tracking performance of the proposed method.

History

Publication status

  • Published

Page range

188-198

Pages

11.0

Presentation Type

  • paper

Event name

3rd International Conference on Fuzzy Systems and Knowledge Discovery

Event location

Xi'an, China

Event type

conference

ISBN

9783540459163

Department affiliated with

  • Engineering and Design Publications

Notes

Lectrue Notes in Computer Science, Volume 4223/2006

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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