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Global exponential stability of a class of neural networks with variable delays

✍ Scribed by W. Zheng; J. Zhang

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 441 KB
Volume: 49
Category: Article
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2004.03.015

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✦ Synopsis

In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov function, the sufficient conditions for global exponential stability of neural networks are obtained.

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