Finite-time stabilization of discontinuous fuzzy inertial Cohen–Grossberg neural networks with mixed time-varying delays

This article aims to study a class of discontinuous fuzzy inertial Cohen–Grossberg neural networks (DFICGNNs) with discrete and distributed time-delays. First all, in order deal the discontinuities by differential inclusion theory, based on generalized variable transformation including two tunable variables, mixed time-varying delayed DFICGNN is transformed into first-order system. Then, constructing modified Lyapunov–Krasovskii functional concerning delays designing feedback control law, delay-dependent criteria formulated algebraic inequalities are derived for guaranteeing finite-time stabilization (FTS) addressed Moreover, settling time estimated. Some related stability results extended. Finally, numerical examples carried out verify effectiveness established results.