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Impulsive exponential synchronization of coupled fuzzy neural networks with time-varying delays

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5551 LNCS(PART 1) 482-491
DOI: 10.1007/978-3-642-01507-6_56
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Abstract

In this paper, the problem on impulsive exponential synchronization is investigated for coupled fuzzy neural networks with time-varying delays. Based on M-matrix theory and analytic methods, a sufficient condition of impulsive exponential synchronization of two coupled fuzzy neural networks is established. To illustrate the effectiveness of the new scheme, a numerical example with simulation is given. © 2009 Springer Berlin Heidelberg.

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Zhou, J., Song, Q., & Yang, J. (2009). Impulsive exponential synchronization of coupled fuzzy neural networks with time-varying delays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5551 LNCS, pp. 482–491). https://doi.org/10.1007/978-3-642-01507-6_56

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