Global asymptotic stability of cellular neural networks with infinite delay

Title:

Global asymptotic stability of cellular neural networks with infinite delay

Creator:

Zhang, Qiang, Wei, Xiaopeng, and Xu, Jin

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:333689ac-b414-4eb5-916a-5c92415a6fbe
uuid:333689ac-b414-4eb5-916a-5c92415a6fbe

Subject:

Global asymptotic stability, cellular neural networks with infinite delay, Lyapunov stability theorem, and Young inequality

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Global asymptotic stability of cellular neural networks with infinite delay is considered in this paper. Based on the Lyapunov stability theorem combing with modified Young inequality, some new sufficient conditions are given for global asymptotic stability of equilibrium point of cellular neural networks with infinite delay. The results are less conservative than that established in the earlier references. Two examples are presented to illustrate the applicability of these conditions.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2005 Volume:15 | Number:6

Harvested from:

CDK

Metadata only:

false