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

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 commun...

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Bibliographic Details
Published inMathematical and computer modelling of dynamical systems Vol. 26; no. 4; pp. 357 - 373
Main Authors Zhou, Jun, Tong, Dongbing, Chen, Qiaoyu, Zhou, Wuneng
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 03.07.2020
Taylor & Francis Ltd
Subjects
Circuits
Control stability
Controllers
Event triggered control
Master-slave synchronization
Neural networks
Stability criteria
Synchronism
Time synchronization
Time varying control
time-varying delays
Tunnel diodes
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Summary: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.
ISSN:1387-3954
1744-5051
DOI:10.1080/13873954.2020.1777567