Tracking control of delayed networked systems via a pinning impulsive strategy
Dandan Zhang, Yang Shan Tang, Xin Peng · IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society · 2017
This paper examines the tracking property of nonlinear delayed multi-agent systems with impulsive effects. The strengths and locations of the stabilizing impulses, as well as the number of the controlled nodes are all assumed to be time-varying. Some sufficient criteria are established such that the considered system can exponentially track the dynamical reference state based on the given impulsive control algorithm. Finally, the dynamic system of robotic arms modeled by nodes is presented to verify that the established results are of not only theoretical validity but also practical effectiveness.