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New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems

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Abstract

This paper studies the robust adaptive-impulsive synchronization in chaotic delayed neural networks with uncertainties. For this class of complex networks, some simple adaptive-impulsive controllers with updated strengths are designed. Using the well-known extended Halany inequality and Lyapunov functions, several less conservative conditions are obtained compared with the existing results. The simulation results show that the proposed results are effective.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61304093) and the Taishan Scholar Project Fund of Shandong Province of China.

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Authors and Affiliations

  1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, 266042, People’s Republic of China

    Yan Ji, Ximei Liu & Feng Ding

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  1. Yan Ji
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  2. Ximei Liu
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  3. Feng Ding
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Correspondence to Yan Ji.

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Ji, Y., Liu, X. & Ding, F. New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems. Nonlinear Dyn 79, 1–9 (2015). https://doi.org/10.1007/s11071-014-1640-6

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  • DOI: https://doi.org/10.1007/s11071-014-1640-6

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