Three Gorges Mathematical Research Center, China Three Gorges University, Yichang, China
10.22111/ijfs.2022.7156
Abstract
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 theoretical results.
Zhao, F., & Jian, J. (2022). Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay. Iranian Journal of Fuzzy Systems, 19(5), 47-61. doi: 10.22111/ijfs.2022.7156
MLA
F. Zhao; J. Jian. "Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay". Iranian Journal of Fuzzy Systems, 19, 5, 2022, 47-61. doi: 10.22111/ijfs.2022.7156
HARVARD
Zhao, F., Jian, J. (2022). 'Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay', Iranian Journal of Fuzzy Systems, 19(5), pp. 47-61. doi: 10.22111/ijfs.2022.7156
VANCOUVER
Zhao, F., Jian, J. Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay. Iranian Journal of Fuzzy Systems, 2022; 19(5): 47-61. doi: 10.22111/ijfs.2022.7156
)