Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays
Lian Duan, Lihong Huang, Xianwen Fang · Chaos An Interdisciplinary Journal of Nonlinear Science · 2017
In this paper, we study the finite-time synchronization problem for recurrent neural networks with discontinuous activations and time-varying delays. Based on the finite-time convergence theory and by using the nonsmooth analysis technique, some finite-time synchronization criteria for the considered neural network model are established, which are new and complement some existing ones. The feasibility and effectiveness of the proposed synchronization method are supported by two examples with numerical simulations.