Exponential stabilization of fuzzy inertial neural networks with mixed delays

This paper discusses the problem of exponential stabilization for a class of fuzzy inertial neural networks(FINNs) with mixed delays. By using Lyapunov stability theory and some inequality techniques, several new criteria are derived to get global exponential stability of the investigated FINNs. Compared with the previous works on inertial neural networks(INNs) without fuzzy terms or only consider common time delays, our systems considered here are more general and meaningful. Furthermore, we get the exponential stabilization criteria directly from the FINNs themselves without the reduced-order method. At last, illustrative examples are given to show the correctness of the results.