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

This paper investigates the reliable event-based dissipative filter design problem for net-worked system with quantization and sensor fault. The attention is focused on propos -ing 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 dissipa-tive 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 devel-oped algorithm.(c) 2021 Elsevier Inc. All rights reserved.

Automated summary

This paper investigates the reliable event-based dissipative filter design problem for networked system with quantization and sensor fault. A design method for dissipative filter is proposed to ensure asymptotic stability and dissipativity performance. The effectiveness and feasibility of the developed algorithm are demonstrated through two practical examples.