Consensus by maximum hands-off distributed control with sampled-data state observation
Takuya Ikeda, Masaaki Nagahara, Kenji Kashima · 2016
In this paper, we propose a distributed control algorithm for consensus of dynamical multi-agent systems based on maximum hands-off control with sampled-data state observation. Maximum hands-off control is a control that maximizes the time duration on which the control is exactly zero among the feasible controls, which can reduce fuel or electricity consumption while the control signals take the value of zero. We give theorems for feasibility, characterization and stability for the proposed control that reaches consensus. A simulation result is shown to illustrate the effectiveness of the proposed control.