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Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control

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Abstract

This paper is concerned with the sampled-data synchronization issues for delayed memristive neural networks with Markovian jumping and reaction–diffusion terms. In the frame work of inequality techniques and a useful Lyapunov functional, some new testable algebraic criteria are obtained to ensure the stability of the error system, and thus, the master system can synchronize with the slave system. Finally, an illustrative example is exploited to demonstrate the performance and effectiveness of the developed approach.

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Acknowledgments

This work was supported by the Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No. KJ1501002).

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Authors and Affiliations

  1. Department of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, 210096, Nanjing, China

    Ruoxia Li

  2. Department of Mathematics and Statistics, Chongqing University, 401331, Chongqing, China

    Hongzhi Wei

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  1. Ruoxia Li
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  2. Hongzhi Wei
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Correspondence to Ruoxia Li.

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Li, R., Wei, H. Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control. Int. J. Mach. Learn. & Cyber. 7, 157–169 (2016). https://doi.org/10.1007/s13042-015-0423-9

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  • DOI: https://doi.org/10.1007/s13042-015-0423-9

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