Reliable exponential H∞ filtering for a class of switched reaction-diffusion neural networks

作者：

Highlights：

• The reliable exponential H∞ filtering of switched reaction-diffusion neural networks is studied.

• An analysis result on the exponential H∞ performance is presented.

• A linear matrix inequalities-based design scheme for the desired Luenberger observer is proposed.

摘要

•The reliable exponential H∞ filtering of switched reaction-diffusion neural networks is studied.•An analysis result on the exponential H∞ performance is presented.•A linear matrix inequalities-based design scheme for the desired Luenberger observer is proposed.

论文关键词：H∞ filtering,Sensor failure,Luenberger observer,Linear matrix inequality

论文评审过程：Received 20 May 2021, Revised 10 August 2021, Accepted 15 September 2021, Available online 30 September 2021, Version of Record 30 September 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126661