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International Symposium on Neural Networks

ISNN 2007: Advances in Neural Networks – ISNN 2007 pp 143–150Cite as

Global Exponential Synchronization of Chaotic Neural Networks with Time Delays

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4492))

Abstract

This Letter deals with the global exponential synchronization of a class of chaotic neural networks with time delays. Based on the the Halanay inequality technique and the Lyapunov stability theory, a delay-independent and decentralized control law is derived to ensure the exponential synchronization of the model and the simpler, less conservative and more efficient results are easy to be verified in engineering applications. Finally, an illustrative example is given to demonstrate the effectiveness of the presented synchronization scheme.

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Author information

Authors and Affiliations

  1. Institute of Nonlinear Complex Systems, Three Gorges University, Yichang, Hubei, 443000, China

    Jigui Jian & Baoxian Wang

  2. Department of Control Science and Engineering, Huazhong University, of Science and Technology, Wuhan, Hubei, 430074, China

    Xiaoxin Liao

Authors
  1. Jigui Jian
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  2. Baoxian Wang
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  3. Xiaoxin Liao
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Editor information

Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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Jian, J., Wang, B., Liao, X. (2007). Global Exponential Synchronization of Chaotic Neural Networks with Time Delays. 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_19

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  • DOI: https://doi.org/10.1007/978-3-540-72393-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72392-9

  • Online ISBN: 978-3-540-72393-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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