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

作者：

Highlights：

• This paper proposes the dissipativity performance analysis method for networked system with event-triggered protocol, dynamic quantization and sensor fault.

• The method of co-design of the dynamic quantization parameter, event-triggered protocol and the filter parameters is given by means of LMI technique to ensure the filtering error system is asymptotically stable and satisfies the dissipativity performance.

• Different from the existing results, an effective adjustment method of dynamic quantization parameter for the faulty measurement output is presented in this paper.

摘要

•This paper proposes the dissipativity performance analysis method for networked system with event-triggered protocol, dynamic quantization and sensor fault.•The method of co-design of the dynamic quantization parameter, event-triggered protocol and the filter parameters is given by means of LMI technique to ensure the filtering error system is asymptotically stable and satisfies the dissipativity performance.•Different from the existing results, an effective adjustment method of dynamic quantization parameter for the faulty measurement output is presented in this paper.

论文关键词：Filtering error system,Dissipativity performance,Sensor fault,Linear matrix inequalities (LMIs)

论文评审过程：Received 2 August 2021, Revised 9 October 2021, Accepted 20 November 2021, Available online 6 December 2021, Version of Record 6 December 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126823