Abstract
In this paper, global exponential stability of cellular neural networks with time-varying delays and impulses is studied. By estimating the delay differential inequality with impulses, some sufficient conditions for global exponential stability of impulsive neural networks are obtained. The obtained results are new and they complement previously known results. Finally, an example is given to illustrate the theory. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Fu, C., & Chen, B. (2006). Global exponential stability of cellular neural networks with time-varying delays and impulses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 230–235). Springer Verlag. https://doi.org/10.1007/11759966_35
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