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Synchronization and Lag Synchronization of Chaotic Networks

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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Abstract

In this paper, we investigates synchronization dynamics of hyperchaotic neural networks by using proper nonlinear feedback controllers. Globally exponential lag synchronization (GELS) include globally exponential synchronization (GES) are studied. We obtain the Lyapunov stability criteria for the globally exponential lag synchronization. Numerical simulations are used to illustrate the theoretical results.

This work was jointly supported by the Doctoral Found of QUST, and the Natural Science Foundation of Henan Province, China under Grant 0611055100.

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Author information

Authors and Affiliations

  1. School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China

    Zunshui Cheng, Youming Xin & Jianmin Xing

  2. Department of Mathematics, Xuchang University, Xuchang, 461000, China

    Xuechen Li

Authors
  1. Zunshui Cheng
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  2. Youming Xin
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  3. Xuechen Li
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  4. Jianmin Xing
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático,, CINVESTAV-IPN,, A.P. 14-740, Av.IPN 2508,, D.F., 07360,, México, México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, NJ 07030,, Hoboken,, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, 501 E. St. Joseph Street,, SD 57701,, Rapid City,, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Cheng, Z., Xin, Y., Li, X., Xing, J. (2009). Synchronization and Lag Synchronization of Chaotic Networks. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_137

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_137

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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