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Reliable event-based dissipative filter design for discrete-time system with dynamic quantization and sensor fault

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  • Ma, Zheng
  • Song, Jiasheng
  • Zhou, Jianping

Abstract

This paper investigates the reliable event-based dissipative filter design problem for networked system with quantization and sensor fault. The attention is focused on proposing an effective filtering design method for ensuring the resulting filtering error system is asymptotically stable and guarantees dissipativity performance. Firstly, the dissipativity performance analysis criterion is given to check whether the asymptotic stability and the dissipativity performance are satisfied. Then, based on this, the design method for dissipative filter is established in terms of the classical linear matrix inequality technique. Finally, two practical examples are used to illustrate the effectiveness and feasibility of the developed algorithm.

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  • Ma, Zheng & Song, Jiasheng & Zhou, Jianping, 2022. "Reliable event-based dissipative filter design for discrete-time system with dynamic quantization and sensor fault," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    • Handle: RePEc:eee:apmaco:v:418:y:2022:i:c:s0096300321009061
    DOI: 10.1016/j.amc.2021.126823
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    References listed on IDEAS

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    6. Liu, Yangfan & Ma, Yuechao & Wang, Yanning, 2018. "Reliable finite-time sliding-mode control for singular time-delay system with sensor faults and randomly occurring nonlinearities," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 341-357.
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