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The Impulsive Control of the Projective Synchronization in the Drive-Response Dynamical Networks with Coupling Delay

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Advances in Neural Networks - ISNN 2010 (ISNN 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6063))

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Abstract

In this paper, we study the impulsive control of the projective synchronization in the drive-response dynamical networks with coupling delay, where the drive system is a partially linear chaotic system and the response system is a delay-coupled dynamical network. The method also allows us to arbitrarily amplify or reduce the scale of the dynamics of the response network through the impulsive control. Numerical simulations are provided to demonstrate the effectiveness of the proposed control method.

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Author information

Authors and Affiliations

  1. School of Science, Jiangnan University, Wuxi, 214122, P.R. China

    Xianyun Xu, Yun Gao, Yanhong Zhao & Yongqing Yang

Authors
  1. Xianyun Xu
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  2. Yun Gao
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  3. Yanhong Zhao
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  4. Yongqing Yang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, China

    Liqing Zhang

  2. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China

    Bao-Liang Lu

  3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water bay, Kowloon, Hong Kong, China

    James Kwok

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© 2010 Springer-Verlag Berlin Heidelberg

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Xu, X., Gao, Y., Zhao, Y., Yang, Y. (2010). The Impulsive Control of the Projective Synchronization in the Drive-Response Dynamical Networks with Coupling Delay. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_66

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  • DOI: https://doi.org/10.1007/978-3-642-13278-0_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13277-3

  • Online ISBN: 978-3-642-13278-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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