PI-type event-triggered H∞ filter for networked T-S fuzzy systems using affine matched membership function approach

作者：

Highlights：

• Proportional-plus-integral (PI) event-triggered scheme is employed to reduce average usage of samples.

• Affinely transformed membership based distributed filter (AMDF) is utilized to enhance H∞ performance.

• Deviation bounds between original membership function and affine matched one are considered in consecutive sampling time.

摘要

•Proportional-plus-integral (PI) event-triggered scheme is employed to reduce average usage of samples.•Affinely transformed membership based distributed filter (AMDF) is utilized to enhance H∞ performance.•Deviation bounds between original membership function and affine matched one are considered in consecutive sampling time.

论文关键词：Event-based filter,T-S fuzzy systems,Networked control systems,H∞ filter

论文评审过程：Received 7 November 2019, Revised 7 April 2020, Accepted 24 May 2020, Available online 17 June 2020, Version of Record 17 June 2020.

论文官网地址：https://doi.org/10.1016/j.amc.2020.125420