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Synchronization of memristive competitive neural networks with different time scales

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Abstract

In this paper, a feedback controller is proposed for the synchronization of memristive competitive neural networks with different time scales. By constructing a proper Lyapunov–Krasovskii functional, as well as employing differential inclusions theory, a feedback controller is designed to achieve the asymptotical synchronization of coupled competitive neural networks. The proposed synchronization algorithm is simple and can be easily realized. A simulation example is given to show the effectiveness of the theoretical results.

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Acknowledgments

The authors thank the editor and the anonymous reviewers for their helpful comments and suggestions.

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Authors and Affiliations

  1. School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Yanchao Shi & Peiyong Zhu

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  1. Yanchao Shi
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  2. Peiyong Zhu
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Correspondence to Yanchao Shi.

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Shi, Y., Zhu, P. Synchronization of memristive competitive neural networks with different time scales. Neural Comput & Applic 25, 1163–1168 (2014). https://doi.org/10.1007/s00521-014-1598-9

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  • DOI: https://doi.org/10.1007/s00521-014-1598-9

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