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Adaptive Synchronization for a Class of Cellular Neural Networks with Pantograph Delays

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Listed:
  • Xuehui Mei
  • Jiuju Xing
  • Haijun Jiang
  • Cheng Hu
  • Liwei Zhang

Abstract

This paper deals with the synchronization problem for a class of cellular neural networks with pantograph delays. By using Lyapunov functional theory and inequality technique, some new and useful results are obtained for asymptotical synchronization under adaptive feedback controller.

Suggested Citation

  • Xuehui Mei & Jiuju Xing & Haijun Jiang & Cheng Hu & Liwei Zhang, 2013. "Adaptive Synchronization for a Class of Cellular Neural Networks with Pantograph Delays," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:198780
    DOI: 10.1155/2013/198780
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    References listed on IDEAS

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    1. Cao, Jinde & Ho, Daniel W.C., 2005. "A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach," Chaos, Solitons & Fractals, Elsevier, vol. 24(5), pages 1317-1329.
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    3. Yang, Yongqing & Cao, Jinde, 2007. "Exponential lag synchronization of a class of chaotic delayed neural networks with impulsive effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 492-502.
    4. Li, Ping & Cao, Jinde & Wang, Zidong, 2007. "Robust impulsive synchronization of coupled delayed neural networks with uncertainties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 261-272.
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