Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays.
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.
Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui 232001, People's Republic of China.
Lian
L
Duan
School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, Hunan 410114, People's Republic of China.
Lihong
L
Huang
Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui 232001, People's Republic of China.
Xianwen
X
Fang