Quasi-synchronization of multi-layer delayed neural networks with parameter mismatches via impulsive control

Lingna Shi, Jiarong Li, Haijun Jiang and Jinling Wang

Chaos, Solitons & Fractals, 2023, vol. 175, issue P1

Abstract: This paper is concerned with the quasi-synchronization of delayed neural networks with multi-layer network structure and parameter mismatches. The topologies of different layers are independent of each other, and the individual dynamics of different nodes are different as well. Noting that uncertain parameters are taken into account as it is inevitable during the implementation of synchronization. In order to save the control cost, impulsive control that only controls network nodes at discrete times is proposed. Through the impulsive comparison principle, the quasi-synchronization criteria are established under the synchronizing impulses and desynchronizing impulses, respectively. In addition, the theoretical error bounds are estimated. The effectiveness of the theoretical results are verified by numerical simulation.

Keywords: Quasi-synchronization; Multi-layer delayed neural network; Impulsive control; Parameter mismatch; Uncertain parameter (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:175:y:2023:i:p1:s0960077923008950

DOI: 10.1016/j.chaos.2023.113994

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