Simplified approach to the exponential stability of delayed neural networks with time varying delays

Vimal Singh

Chaos, Solitons & Fractals, 2007, vol. 32, issue 2, 609-616

Abstract: Sufficient conditions in the form of linear matrix inequalities for the exponential stability of the equilibrium point for delayed neural networks with time varying delays are presented. The conditions turn out to be greatly simplified versions of the exponential stability results previously reported by Yucel and Arik. A distinct feature of the present criteria is that they are free of the degree of exponential stability. This feature makes the criteria computationally very attractive.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:2:p:609-616

DOI: 10.1016/j.chaos.2005.11.006

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