Trajectory tracking of nonlinear complex network via pinning impulsive control
Jiahao Zhang, Ming Chi, Zhi‐Wei Liu · 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) · 2021
In this paper, the tracking problem of nonlinear complex network via pinning impulsive control is studied. A novel approach to trajectory tracking control of a complex network is presented. By applying pinning impulsive controllers to the nodes in the follower network to ensure that the trajectory of target network can be tracked exactly. And a sufficient condition for follower flow to track the target network is obtained through the selection of parameters and the nodes selection at each impulsive instant. The stability of the system is proved with Lyapunov's stability judgment.