%0 Journal Article
%T Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
%J Iranian Journal of Fuzzy Systems
%I University of Sistan and Baluchestan
%Z 1735-0654
%A Zhao, F.
%A Jian, J.
%D 2022
%\ 10/01/2022
%V 19
%N 5
%P 47-61
%! Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
%K Fuzzy Cohen-Grossberg neural network
%K fractional-order
%K finite-time synchronization
%K fractional-order inequality
%K fractional-order Razumikhin-type theorem
%R 10.22111/ijfs.2022.7156
%X This paper deals with the issues of the finite-time synchronization (FTS) for a class of fractional-order fuzzy Cohen-Grossberg neural networks (FOFCGNNs) with time delay. Based on the finite-time stability theory, fractional-order Razumikhin theorem and applying fractional-order differential inequalities and other inequality techniques, a few new and effective criteria formulated by testable algebraic inequalities are derived to ensure the FTS for the concerned models via designing a discontinuous control strategy. Finally, two numerical simulations examples are furnished to demonstrate the feasibility and effectiveness of the derived theoreticalresults.
%U https://ijfs.usb.ac.ir/article_7156_84757c349208ac493877cfaedc1787f1.pdf