Master–Slave Synchronization of Delayed Neural Networks With Time-Varying Control | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

This brief investigates the master-slave synchronization problem of delayed neural networks with general time-varying control. Assuming a linear feedback controller with ...Show More

Abstract:

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.
Page(s): 2292 - 2298
Date of Publication: 01 June 2020

ISSN Information:

PubMed ID: 32479405

Funding Agency:


References

References is not available for this document.