Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality.

He, Yong; Ji, Meng-Di; Zhang, Chuan-Ke; Wu, Min · Neural Netw · 2016

basic_science · Level V

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Abstract

This paper is concerned with global exponential stability problem for a class of neural networks with time-varying delays. Using a new proposed inequality called free-matrix-based integral inequality, a less conservative criterion is proposed, which is expressed by linear matrix inequalities. Two numerical examples are given to show the effectiveness and superiority of the obtained criterion.

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