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

Zheng Ma, Jiasheng Song and Jianping Zhou

Applied Mathematics and Computation, 2022, vol. 418, issue C

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.

Keywords: Filtering error system; Dissipativity performance; Sensor fault; Linear matrix inequalities (LMIs) (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:418:y:2022:i:c:s0096300321009061

DOI: 10.1016/j.amc.2021.126823

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