Abstract
This paper is concerned with the quasi-uniform synchronization (Q-US) issues of discrete fractional fuzzy neural networks (DFFNNs) with time delays. Firstly, we analyze the neural network systems with fuzzy time delays in discrete cases, complementing the neglected factors in the current literatures. Secondly, we use discrete fractional calculus including discrete Hölder inequality, discrete Gronwall inequality, and the discrete Lyapunov functional method to enrich the discrete system analysis. In addition, to acquire the Q-US, the designed delay feedback controller has the advantage of handling complex time delays to promote the response of the system. Moreover, the obtained results presented as direct linear matrix inequalities are efficiently verified by the simulation example.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Communications in Nonlinear Science and Numerical Simulation
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.