Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

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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.

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Zhou, J., Song, Q., Yang, J. (2009). Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_56

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

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