Target tracking for non-identical high-order networks based on reduced-order observers
Yanhua Qu, Anna Wang · Journal of Control and Decision · 2019
In this paper, target tracking for non-identical high-order networks is presented under the digraph network topology. The target agent has different dimensions with the followers. We first address a distributed dynamic state feedback control law to solve the output tracking problem. Then a reduced-order observer is designed, and an observer-based dynamic output feedback control law is given for the case that the states of the agents are not fully measurable. Finally, some simulation results are given to illustrate the validity of the theoretical results.