Abstract
This article is concerned about the finite-time bipartite lag synchronization of coupled memristive neural networks with time-varying delay and uncertain disturbances. To deal with the same and the different transmission lags in practical applications, some appropriate control strategies including two different phases are designed. Compared with some existing literatures of this subject, the restriction of the switching value is relaxed. Then, with the help of stability theory, matrix theory and algebra inequality theory, some Lyapunov-based synchronization criteria are derived. In addition, the settling time is given as a function of the initial values. Finally, the efficacy and accuracy of the suggested theoretical results are demonstrated through numerical examples and their simulations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
