New Global Asymptotic Stability Criteria for Neural Networks with Discrete and Distributed Delays

Jianping Zhou,Hao Shen,Zhen Wang,Zhilian Yan

doi:10.1109/icicta.2012.64

New Global Asymptotic Stability Criteria for Neural Networks with Discrete and Distributed Delays

Jianping Zhou, Hao Shen + Show 2 more

https://doi.org/10.1109/icicta.2012.64

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Publication Date: Jan 1, 2012

Affiliation: Anhui University of Technology, Anhui University of Science and Technology, Nanjing University of Science and Technology, Shandong University of Science and Technology

#Stability Criteria For Neural Networks #Stability Analysis For Neural Networks + Show 8 more

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Abstract

This paper deals with the problem of stability analysis for neural networks with discrete and distributed delays. By constructing new Lyapunov-Krasovskii functionals, two criteria for the existence of a unique equilibrium point and its global asymptotic stability of the neural networks are developed in terms of linear matrix inequalities. Numerical examples are provided to illustrate the effectiveness of the proposed results.

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