Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms

摘要

In this paper, we investigate a class of high order fuzzy Cohen-Grossberg neural networks (HOFCGNN) with mixed delays which include time variable dalay and unbounded delays. Based on the properties of M-matrix, by constructing vector Lyapunov functions and applying differential inequalities, the sufficient conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of HOFCGNN with mixed delays and reaction-diffusion terms are obtained.