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International Symposium on Neural Networks

ISNN 2010: Advances in Neural Networks - ISNN 2010 pp 542–547Cite as

Synchronization for a Class of Uncertain Chaotic Cellular Neural Networks with Time-Varying Delay

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

Abstract

Synchronization problem of a class of chaotic cellular neural networks with time-varying delay and parameter uncertainties is probed in. Given the Lipschitz conditions, based on Lyapunov-Krasovskii functional method and the analysis of the bounded uncertainties, a kind of convenient linear controller is derived. It can be designed by only solving a linear matrix inequality and can lead the error system to be globally asymptotical stable. The simulation results indicate the super properties of the controller.

Keywords

  • Chaos
  • Cellular neural networks
  • Synchronization
  • Parameter uncertainty
  • Time delay
  • Lyapunov-Krasovskii functional

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Author information

Authors and Affiliations

  1. College of Sciences, Naval University of Engineering, Wuhan, 430033, China

    Jianjun Tu & Hanlin He

Authors
  1. Jianjun Tu
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  2. Hanlin He
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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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Tu, J., He, H. (2010). Synchronization for a Class of Uncertain Chaotic Cellular Neural Networks with Time-Varying 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_69

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  • DOI: https://doi.org/10.1007/978-3-642-13278-0_69

  • 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)