Global stability analysis in delayed cellular neural networks

Jinde Cao
Phys. Rev. E 59, 5940 – Published 1 May 1999
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Abstract

In this paper, the author analyzes further problems of global stability for a class of cellular neural networks with delays by means of the Lyapunov functional method, inequalities a2+b2>~2ab and a3+b3+c3>~3abc(a,b,c>~0) analysis technique, some stability criteria are obtained under more general conditions. These criteria can be applied to design globally stable networks and thus have important significance in both theory and applications.

  • Received 12 October 1998

DOI:https://doi.org/10.1103/PhysRevE.59.5940

©1999 American Physical Society

Authors & Affiliations

Jinde Cao

  • Adult Education College, Yunnan University, Kunming 650091, People’s Republic of China

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Issue

Vol. 59, Iss. 5 — May 1999

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