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Triple-integral method for the stability analysis of delayed neural networks

2012; Elsevier BV; Volume: 99; Linguagem: Inglês

10.1016/j.neucom.2012.07.005

1872-8286

Zixin Liu, Jian Yu, Daoyun Xu, Dingtao Peng,

Model Reduction and Neural Networks

This paper addresses the stability problem of a delayed neural networks. Combined with the property of convex function, by generalizing the famous Jensen integral inequality, a new triple-integral Lyapunov function is constructed, and a new improved delay-dependent stability criterion is derived. Two numerical examples are presented to illustrate the less conservatism and the effectiveness of the main results.