Delay-dependent exponential stability criteria for non-autonomous cellular neural networks with time-varying delays

Qiang Zhang, Xiaopeng Wei and Jin Xu

Chaos, Solitons & Fractals, 2008, vol. 36, issue 4, 985-990

Abstract: Delay-dependent exponential stability of non-autonomous cellular neural networks with delays is considered in this paper. Based on the differential inequality technique as well as a fact about Young inequality, some new sufficient conditions are given for global exponential stability of non-autonomous cellular neural networks with delays. The conditions rely on the size of time-delay. Since the results presented here do not require the differentiability of variable delay, they are less conservative than those established in the earlier references. An example is given to illustrate the applicability of these conditions.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:36:y:2008:i:4:p:985-990

DOI: 10.1016/j.chaos.2006.07.034

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