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access icon free Sampled-data control of asynchronously switched non-linear systems via T–S fuzzy model approach

  • Author(s): Hangfeng He 1 ; Gao Xianwen 1 ; Wenhai Qi 2
    • View affiliations
  • Source: Volume 11, Issue 16, 03 November 2017, p. 2817 – 2823
    DOI:  10.1049/iet-cta.2017.0521 , Print ISSN 1751-8644, Online ISSN 1751-8652
© The Institution of Engineering and Technology
Received 12/05/2017, Accepted 03/08/2017, Revised 18/07/2017, Published 07/08/2017

This study deals with switched non-linear systems subject to sampled-data control. The states and switching signals of controllers in this study are both considered to be sampled. The corresponding closed-loop systems are modelled as asynchronously switched T–S fuzzy systems with time-varying delay. Based on asynchronous switching approach and time-varying delay approach, the state feedback controllers are designed in terms of a strict linear matrix inequality. Moreover, the switching strategy is studied to guarantee the exponential stability of the systems. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

Inspec keywords: sampled data systems; asymptotic stability; state feedback; closed loop systems; linear matrix inequalities; fuzzy control; switching systems (control); delays; nonlinear control systems

Other keywords: LMI; closed-loop systems; T-S fuzzy model approach; switching signals; sampled-data control; time-varying delay approach; strict linear matrix inequality; state feedback controllers; exponential stability; asynchronously switched nonlinear systems

Subjects: Stability in control theory; Distributed parameter control systems; Time-varying control systems; Discrete control systems; Fuzzy control; Nonlinear control systems; Algebra

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