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

Jianping Zhou,Zhilian Yan,Zhen Wang,Hao Shen

doi:10.1109/icicta.2012.64

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

Jianping Zhou, Zhilian Yan + Show 2 more

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

Copy DOI

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

Abstract
Full-Text PDF
Similar Papers

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.

Full Text