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Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

It has been found that chaotic dynamics may exist in real brain neurons and play important roles in signal proceeding. But it is hard to set suitable parameters of system to make it be chaotic in practice. In this paper, a general adaptive controlling method of nonlinear systems with chaotic dynamics is studied. According analysis Lyapunov exponent, the effectiveness of our scheme is illustrated by a series of computer simulations.

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Author information

Authors and Affiliations

  1. School of Electronic Information Engineering, Southwest China Normal University, Chongqing, 400715, China

    Lidan Wang, Shukai Duan & Guangyuan Liu

  2. Department of Computer Science and Engineering, Chongqing University, 400030, China

    Shukai Duan

Authors
  1. Lidan Wang
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  2. Shukai Duan
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  3. Guangyuan Liu
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiaofeng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, L., Duan, S., Liu, G. (2005). Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_57

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  • DOI: https://doi.org/10.1007/11427391_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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