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Analysis and Controller Design for Parameter Varying T-S Fuzzy Systems with Markov Jump

Author

Listed:
  • Na Min

    (School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China)

  • Hongyang Zhang

    (School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510641, China)

Abstract

In this paper, we investigate a novel T-S fuzzy parameter varying system with Markov jump, in which parameters depend not only on a Markov chain but also on linear parameter varying elements that take values in convex polytopic sets. Stable conditions and the gain-scheduling controller design method for this system are obtained. Applying Lyapunov function depending on the operation mode and full block S-procedure lemma, we obtain stochastic stabilization conditions. We find that this novel system has two distinct advantages. On the one hand, it inherits the advantages of traditional T-S fuzzy systems in handling nonlinear objects under the frame of T-S fuzzy systems; on the other, it obtains the advantages of dealing with time-varying characteristics from the point of linear parameter varying (LPV) systems. Finally, the theory results are illustrated via numerical simulation.

Suggested Citation

  • Na Min & Hongyang Zhang, 2024. "Analysis and Controller Design for Parameter Varying T-S Fuzzy Systems with Markov Jump," Mathematics, MDPI, vol. 12(17), pages 1-19, August.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2721-:d:1468345
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    References listed on IDEAS

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    1. Wang, Xuelian & Xia, Jianwei & Wang, Jing & Wang, Zhen & Wang, Jian, 2020. "Reachable set estimation for Markov jump LPV systems with time delays," Applied Mathematics and Computation, Elsevier, vol. 376(C).
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