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A generalized Halanay inequality on impulsive delayed dynamical systems and its applications

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  • Wu, Quanjun
  • Zhang, Hua
  • Xiang, Lan
  • Zhou, Jin

Abstract

The main objective of this paper is to extend previous results on Halanay inequality for impulsive delayed dynamical systems. Based on the Razumikhin technique, a generalized Halanay differential inequality on impulsive delayed dynamical systems is analytically established. Compared with some existing works, the distinctive feature of this work is that it can be used to stabilize an unstable delayed dynamical system via impulses. The generalized Halanay inequality may be applied to secure communication systems, and a numerical example is given for illustrating and interpreting the theoretical results.

Suggested Citation

  • Wu, Quanjun & Zhang, Hua & Xiang, Lan & Zhou, Jin, 2012. "A generalized Halanay inequality on impulsive delayed dynamical systems and its applications," Chaos, Solitons & Fractals, Elsevier, vol. 45(1), pages 56-62.
  • Handle: RePEc:eee:chsofr:v:45:y:2012:i:1:p:56-62
    DOI: 10.1016/j.chaos.2011.09.010
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Lu, Junwei & Guo, Yiqian & Xu, Shengyuan, 2006. "Global asymptotic stability analysis for cellular neural networks with time delays," Chaos, Solitons & Fractals, Elsevier, vol. 29(2), pages 349-353.
    4. Zhang, Qiang & Wei, Xiaopeng & Xu, Jin, 2006. "Stability analysis for cellular neural networks with variable delays," Chaos, Solitons & Fractals, Elsevier, vol. 28(2), pages 331-336.
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