Abstract
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study the existence and global exponential stability of periodic solution for delayed high-order Hopfield-type neural networks. We obtain some easily verifiable sufficient conditions. An illustrative example is given to demonstrate the effectiveness of our main results.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.