Abstract
Several sufficient conditions are obtained ensuring existence and global exponential stability of periodic solution for the bidirectional associative memory (BAM) neural networks with periodic coefficients and time-varying delays by using the continuation theorem of Mawhin's coincidence degree theory and Gronwall's inequality. These results are helpful to design globally exponentially stable BAM networks and periodic oscillatory neural networks.
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: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
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.
