Abstract
The problem of delay-dependent asymptotic stability criteria for neural networks with time-varying delays is investigated. An improved delay dependent stability criteria are obtained in terms of linear matrix inequalities (LMIs) to ensure a large upper bound for time-delay. A new class of Lyapunov functional is constructed and the known bounds of the delay interval is split in two subintervals to derive some novel delay dependent stability criteria. Finally, three numerical examples are given that our results are less conservative than some existing ones.
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.
