Abstract
This paper investigates the finite-time stability for a class of fractional-order neural networks with proportional delay. By some analytic techniques, a generalized Gronwall integral inequality with proportional delay is established. Based on this new inequality, a criterion is derived to guarantee the finite-time stability of systems when the fractional order is between 1 and 2. Moreover, when the fractional order is between 0 and 1, a new criterion is developed to ensure the finite-time stability of systems. This criterion is experimentally proved to be less conservative than those in the previous works. Finally, the effectiveness of our criteria is supported by some numerical examples.
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.
