Impulsive Control Approach to Stabilization of Delayed Inertial Neural Networks

Abstract

: Stabilization of delayed inertial neural networks based on impulsesl is investigated in this paper. Delay-dependent sufficient conditions of stabilization results are obtained as linear matrix inequalities via Lyapunov stability theory which involves the construction of Lyapunov-Krasovskii functional. Information of time-delay is taken into account to obtain these results. Here, time-delay is considered to be time-varying and the activation function is assumed to be sector bounded. Derived conditions can be validated via MATLAB. Finally, an example is provided to support the derived results.