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Robust Fuzzy Tracking Control of Nonlinear Systems with Uncertainty via T-S Fuzzy model
presentation
posted on 2023-06-07, 20:24 authored by Jian Zhang, Minrui Fei, Tai Yang, Yuemei TanThis 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
External DOI
Page range
188-198Pages
11.0Presentation Type
- paper
Event name
3rd International Conference on Fuzzy Systems and Knowledge DiscoveryEvent location
Xi'an, ChinaEvent type
conferenceISBN
9783540459163Department affiliated with
- Engineering and Design Publications
Notes
Lectrue Notes in Computer Science, Volume 4223/2006Full text available
- No
Peer reviewed?
- Yes