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Master-slave synchronization of neural networks with time-varying delays via the event-triggered control

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  • Jun Zhou
  • Dongbing Tong
  • Qiaoyu Chen
  • Wuneng Zhou

Abstract

This paper investigates the problem of master-slave synchronization of neural networks with time-varying delays via the event-triggered control (ETC). First, the proposed ETC can effectively reduce the total amount of data transmitted to the controller in the synchronization process and avoid communication channel congestion. Second, a master-slave synchronization of neural networks with time-varying delays is constructed, where delays within neural networks and the ETC are simultaneous existence. The controller is updated by the ETC. By the Lyapunov stability theory, some sufficient criteria are obtained to ensure master-slave synchronization of neural networks. Finally, a numerical example and a tunnel diode circuit example are used to verify the validity of results obtained.

Suggested Citation

  • Jun Zhou & Dongbing Tong & Qiaoyu Chen & Wuneng Zhou, 2020. "Master-slave synchronization of neural networks with time-varying delays via the event-triggered control," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 26(4), pages 357-373, July.
    • Handle: RePEc:taf:nmcmxx:v:26:y:2020:i:4:p:357-373
    DOI: 10.1080/13873954.2020.1777567
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    Cited by:

    1. Karnan, A. & Nagamani, G., 2023. "Event-triggered extended dissipative synchronization for delayed neural networks with random uncertainties," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).

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