Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
عنوان مقاله: Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
شناسه ملی مقاله: JR_IJFS-19-5_005
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_IJFS-19-5_005
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
F. Zhao - Three Gorges Mathematical Research Center, China Three Gorges University, Yichang, China
J. Jian - Three Gorges Mathematical Research Center, China Three Gorges University, Yichang, China
خلاصه مقاله:
F. Zhao - Three Gorges Mathematical Research Center, China Three Gorges University, Yichang, China
J. Jian - Three Gorges Mathematical Research Center, China Three Gorges University, Yichang, China
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.
کلمات کلیدی: Fuzzy Cohen-Grossberg neural network, fractional-order, finite-time synchronization, fractional-order inequality, fractional-order Razumikhin-type theorem
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1532409/