Finite-Time Stabilization of Inertial Competitive Neural Networks With Proportional Delays

This paper mainly focuses on the problems of finite-time (F-T) stabilization of inertial competitive neural networks (ICNNs) with proportional delays. Firstly, as opposed to converting the second-order systems into the first-order systems through the approach of reduced order, this study directly constructs the Lyapunov function on the original ICNNs, which can yield more accurate results. Then, the criteria for F-T stabilization of ICNNs with two different types of controllers are presented based on the theory of F-T stability.