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

Jun Zhou, Dongbing Tong, Qiaoyu Chen, Wuneng Zhou

2020Mathematical and Computer Modelling of Dynamical Systems11 citationsDOI Open Access PDF

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.

Topics & Concepts

Synchronization (alternating current)Control theory (sociology)Controller (irrigation)Artificial neural networkComputer scienceProcess (computing)Channel (broadcasting)Event (particle physics)Lyapunov stabilityControl (management)Artificial intelligenceTelecommunicationsAgronomyQuantum mechanicsPhysicsOperating systemBiologyNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern FormationAdvanced Memory and Neural Computing