Master-Slave Synchronization of Delayed Neural Networks With Time-Varying Control

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)2292-2298
Number of pages7
Journal / PublicationIEEE Transactions on Neural Networks and Learning Systems
Issue number5
Online published1 Jun 2020
Publication statusPublished - May 2021


This brief investigates the master-slave synchronization problem of delayed neural networks with general time-varying control. Assuming a linear feedback controller with time-varying control gain, the synchronization problem is recast into the stability problem of a delayed system with a time-varying coefficient. The main theorem is established in terms of the time average of the control gain by using the Lyapunov-Razumikhin theorem. Moreover, the proposed framework encompasses some general intermittent control schemes, such as the switched control gain with external disturbance and intermittent control with pulse modulated gain function, while some useful corollaries are consequently deduced. Interestingly, our theorem also provides a solution for regaining stability under control failure. The validity of the theorem and corollaries is further demonstrated with numerical examples.

Research Area(s)

  • Delayed neural network (dNN), intermittent control, synchronization, time-varying control