Consensus by maximum hands-off distributed control with sampled-data state observation
Consensus by maximum hands-off distributed control with sampled-data state observation
复制标题
DOI：
10.1109/cdc.2016.7798392
复制
发表时间：
2016-12
期刊：
影响因子：
--
通讯作者：
Takuya Ikeda;M. Nagahara;K. Kashima
中科院分区：
文献类型：
--
作者：
Takuya Ikeda;M. Nagahara;K. Kashima
本文提出了一种基于采样数据状态观测的最大越手控制的动态多智能体系统一致性分布式控制算法。最大不插手控制是指在可行的控制方法中，使控制恰好为零的持续时间最大化，从而在控制信号取值为零的情况下减少燃料或电力消耗。我们给出了所提出的控制的可行性、刻划和稳定性的定理，并且取得了一致。仿真结果表明了该控制方法的有效性。
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.