Abstract
In this paper, the robust periodicity for recurrent neural netmorks with time delays and impulses is investigated. Based on Lyapunov n ethod and fixed point theorem, a sufficient condition of global expoential robust stability of periodic solution is obtained. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
APA
Yang, Y. (2006). Robust periodicity in recurrent neural network with time 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. 185–191). Springer Verlag. https://doi.org/10.1007/11759966_28
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