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Sampled-data control for synchronization of Markovian jumping neural networks with packet dropout

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Abstract

This paper addressed the master-slave synchronization problem of Markovian jumping neural networks with control packet dropout and sampled-data control. The packet dropout process is modelled as certain Bernoulli distributed white noise sequences. Under the zero-input strategy, a new stochastic switched sampled-data controller is proposed. Based on Lyapunov theory, an improved Lyapunov-Krasovskii function is constructed to derive the stability criteria. By using the technique of convex combination and free-matrix-based inequality, sufficient conditions can be obtained to guarantee the synchronization even if the packet dropout happens randomly. By employing the proposed scheme, the corresponding sampled-data controller is acquired through solving the linear matrix inequalities. The numerical example is provided to verify the feasibility and advantages of the approach.

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Authors and Affiliations

  1. Institute of Electrical Engineering, North China University of Science and Technology, Tangshan, 063009, China

    Hong Wang, Jiawei Wang, Jiaping Tian & Chao Ge

  2. College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050000, China

    Yongjing Ni

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  1. Hong Wang
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  2. Yongjing Ni
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  3. Jiawei Wang
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  4. Jiaping Tian
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  5. Chao Ge
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Correspondence to Chao Ge.

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Wang, H., Ni, Y., Wang, J. et al. Sampled-data control for synchronization of Markovian jumping neural networks with packet dropout. Appl Intell 53, 8898–8909 (2023). https://doi.org/10.1007/s10489-022-03379-6

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  • DOI: https://doi.org/10.1007/s10489-022-03379-6

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