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• W3019718827 abstract "In this study, the - -dissipativity problem is addressed for Markovian multiple-weighted coupled neural networks (MWCNNs) with coupling delays by using pinning control and dynamic event-triggered mechanism. By controlling a small number of nodes in the network combining with dynamic event-triggered strategy, the system resources can not only be utilised more efficiently but also more conducive to engineering implementation. First, the authors propose a - -dissipativity condition of Markovian MWCNNs. Second, pinning controller and dynamic event-triggered scheme are both designed based on the derived dissipativity criterion. Furthermore, the elimination of Zeno phenomenon is proofed for the proposed event-triggered method. Finally, a numerical example is provided to verify the admissibility and effectiveness of the acquired results." @default.
• W3019718827 created "2020-05-01" @default.
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• W3019718827 date "2020-09-02" @default.
• W3019718827 modified "2023-10-14" @default.
• W3019718827 title "Dissipativity of Markovian multiple‐weighted coupled neural networks with dynamic event‐triggered pinning control" @default.
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• W3019718827 doi "https://doi.org/10.1049/iet-cta.2020.0046" @default.
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