Abstract
The present paper studies robust impulsive synchronization of coupled delayed neural networks. Based on impulsive control theory on dynamical systems, a simple yet less conservative criteria ensuring robust impulsive synchronization of coupled delayed neural networks is established. Furthermore, the theoretical result is applied to a typical scale-free (SF) network composing of the representative chaotic delayed Hopfield neural network nodes, and numerical results are presented to demonstrate the effectiveness of the proposed control techniques.
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Xiang, L., Zhou, J., Liu, Z. (2007). Robust Impulsive Synchronization of Coupled Delayed Neural Networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_3
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DOI: https://doi.org/10.1007/978-3-540-72393-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72392-9
Online ISBN: 978-3-540-72393-6
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