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Complete synchronization for impulsive Cohen–Grossberg neural networks with delay under noise perturbation

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  • Chen, Zhang

Abstract

In this paper, impulsive Cohen–Grossberg neural networks with delay is studied. Sufficient conditions are given to guarantee the realization of complete synchronization for Cohen–Grossberg neural networks with delay and large impulse under noise perturbation by stochastic Halanay inequality. Moreover, an example is given to show the effectiveness of synchronization design in this paper.

Suggested Citation

  • Chen, Zhang, 2009. "Complete synchronization for impulsive Cohen–Grossberg neural networks with delay under noise perturbation," Chaos, Solitons & Fractals, Elsevier, vol. 42(3), pages 1664-1669.
    • Handle: RePEc:eee:chsofr:v:42:y:2009:i:3:p:1664-1669
    DOI: 10.1016/j.chaos.2009.03.063
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    References listed on IDEAS

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    1. Zhou, Jin & Xiang, Lan & Liu, Zengrong, 2007. "Synchronization in complex delayed dynamical networks with impulsive effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 684-692.
    2. 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.
    3. Chen, Zhang & Ruan, Jiong, 2007. "Global dynamic analysis of general Cohen–Grossberg neural networks with impulse," Chaos, Solitons & Fractals, Elsevier, vol. 32(5), pages 1830-1837.
    4. Li, Yongkun, 2005. "Global exponential stability of BAM neural networks with delays and impulses," Chaos, Solitons & Fractals, Elsevier, vol. 24(1), pages 279-285.
    5. Zhou, Jin & Xiang, Lan & Liu, Zengrong, 2007. "Global synchronization in general complex delayed dynamical networks and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 729-742.
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