On global exponential stability of delayed cellular neural networks

Vimal Singh

Chaos, Solitons & Fractals, 2007, vol. 33, issue 1, 188-193

Abstract: Senan and Arik [Senan S, Arik S. New results for exponential stability of delayed cellular neural networks. IEEE Trans Circ Syst II 2005;52(3):154–8] have presented criteria for the global exponential stability of delayed cellular neural networks. A less restrictive version of their approach is highlighted presently. A simplification of the results is discussed. A simplified form of an earlier exponential stability criterion due to Liao, Chen and Sanchez is presented.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:33:y:2007:i:1:p:188-193

DOI: 10.1016/j.chaos.2006.01.029

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