Stabilization of Fuzzy Inertial Neural Networks with Infinite Delays

This paper addresses the global asymptotic stabilization problem for a class of fuzzy inertial neural networks (FINNs) with infinite delays and handles with the FINNs directly by a non-reduced order strategy. By constructing Lyapunov functional and utilizing some analytical skills, new sufficient conditions are derived to assure the stabilization of the considered FINNs under the designed controller. Compared with the common neural networks, we introduce the fuzzy logics, inertial terms, time-varying coefficients and infinite delays into the considered model, which complements and improves on a number of existing publications. At last, two illustrative examples are given to demonstrate the validity of the theoretical outcomes.