4.6 Article

Event-triggered fuzzy filtering for a class of nonlinear networked control systems

Journal

SIGNAL PROCESSING
Volume 113, Issue -, Pages 159-168

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2015.01.025

Keywords

Event-triggered communication scheme; Fuzzy filter; T-S fuzzy systems; Networked control systems; Reciprocally convex approach

Funding

  1. National Natural Science Foundation of China [61473264, 61473107]
  2. National Funds for Distinguished Young Scientists of China [61425009]
  3. National Key Basic Research Program (973) of China [2011CB710706]
  4. Australian Research Council [DP140102180, LP140100471]
  5. 111 Project [B12018]
  6. Natural Science Foundation of Zhejiang Province [LQ14F03-0013]
  7. 521 Key Teacher Program of Zhejiang Sci-Tech University
  8. Zhejiang Open Foundation of the Most Important Subjects

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The problem of event-triggered fuzzy filtering is investigated for a class of nonlinear networked control systems in this paper. The nonlinear networked control system is modeled as a T-S fuzzy system and a discrete event-triggered communication scheme is proposed to mitigate the utility of limited network bandwidth. A logic zero order holder is employed to choose the latest transmitted data packet and discard the disordering packet. Using time-delay system method - the discrete event-triggered communication scheme, the network-induced delay and the nonlinear system are unified into a networked T-S fuzzy time-delay system. Then, a new bounded real lemma is derived for this system based on a reciprocally convex approach. A new co-design method is developed for the triggering condition and the fuzzy filter, which guarantees the correspondent filtering error system being asymptotically stable with a prescribed disturbance attenuation level. Finally two examples are given to show the effectiveness of the proposed results. Crown Copyright (C) 2015 Published by Elsevier B.V. All rights reserved.

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