Existence and global exponential stability of periodic solutions of recurrent cellular neural networks with impulses and delays

By using the continuation theorem of coincidence degree theory and constructing suitable Lyapunov functions, we study the existence, uniqueness and global exponential stability of periodic solutions for recurrent neural networks with impulsive perturbations and delays. Further, by using numerical simulation method, the influences of the impulsive perturbations on the inherent oscillations are investigated.

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Year of publication:	2008
Authors:	Gui, Zhanji ; Yang, Xiao-Song ; Ge, Weigao
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 79.2008, 1, p. 14-29
Publisher:	Elsevier
Subject:	Neural networks \| Impulsive effect \| Periodic solution \| Quasi-periodic solution \| Global exponential stability \| Simulation method

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010749066