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Controller synthesis for continuous T-S fuzzy systems with partly immeasurable premise variables

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  • Zhang, Yingnan

Abstract

In this paper, the controller synthesis problem for continuous T-S fuzzy systems with partly immeasurable premise variables is studied. The objective is to synthesize an observer-based controller to bound the reachable set of the system by an ellipsoid set such that the problem of state bounding can be addressed. First, the measurable premise variables and the estimated immeasurable premise variables are simultaneously utilized to construct the controller. Then, the information of the measurable premise variables is employed for deriving the controller synthesis criterion. In the end, the effectiveness of the presented approach is confirmed by an example.

Suggested Citation

  • Zhang, Yingnan, 2019. "Controller synthesis for continuous T-S fuzzy systems with partly immeasurable premise variables," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
    • Handle: RePEc:eee:apmaco:v:363:y:2019:i:c:23
    DOI: 10.1016/j.amc.2019.124592
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    References listed on IDEAS

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    1. Wang, Jing & Ru, Tingting & Xia, Jianwei & Wei, Yunliang & Wang, Zhen, 2019. "Finite-time synchronization for complex dynamic networks with semi-Markov switching topologies: An H∞ event-triggered control scheme," Applied Mathematics and Computation, Elsevier, vol. 356(C), pages 235-251.
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    Cited by:

    1. Lu, Xuchen & Ren, Junchao, 2023. "Robust (Q,S,R)−α-dissipative event-triggered sliding mode control of discrete T-S fuzzy descriptor systems with partial unmeasurable premise variables," Applied Mathematics and Computation, Elsevier, vol. 451(C).

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