Abstract
Since time delay and parameters uncertainty are inevitable, the asymptotic stability of the generalized Hopfield neural networks with time delay and nonsymmetric interconnecting structure is analyzed. The sufficient conditions for the asymptotic stability of equilibrium point are established by way of constructing a suitable Lyapunov functional and sector conditions. The simulation results are presented to prove the effectiveness of the conclusion.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
