Lag synchronization of the leader-following neural networks with time delay based on an improved controller
Jinchuan Huang, Guorong Chen, Luoluo Huang, Qi Gang Han, Yao Liu, Hongli He · 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI) · 2020
Considering that time delay, as an essential characteristic of neural network system, can't be completely eliminated in many high-tech fields, which affects the stability and efficiency of the system, and many classical controllers can't meet the practical conditions. For the sake of solve this problem, an improved dynamic distributed state feedback controller based on the leader follower complex dynamic network with time delay was proposed, and a nonlinear term to the network was added. By selecting appropriate Lyapunov function and linear inequality method, ample conditions are acquired to make the intricate dynamic delay network achieve lag synchronization. Ultimate, the validity of the lag synchronization condition is proved by digital simulation.