期刊
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
卷 -, 期 -, 页码 -出版社
SPRINGEROPEN
DOI: 10.1186/s13634-016-0372-9
关键词
Hands-off control; Sparse optimization; Discrete-time control; Optimal control; ADMM; Model predictive control; Green control
资金
- National Natural Science Foundation of China [61503091]
- China Postdoctoral Science Foundation [2015M570282]
- Grants-in-Aid for Scientific Research [15K14006, 15H02668, 16H01546] Funding Source: KAKEN
- Villum Fonden [00010095] Funding Source: researchfish
Maximum hands-off control is a control mechanism that maximizes the length of the time duration on which the control is exactly zero. Such a control is important for energy-aware control applications, since it can stop actuators for a long duration and hence the control system needs much less fuel or electric power. In this article, we formulate the maximum hands-off control for linear discrete-time plants by sparse optimization based on the l(1) norm. For this optimization problem, we derive an efficient algorithm based on the alternating direction method of multipliers (ADMM). We also give a model predictive control formulation, which leads to a robust control system based on a state feedback mechanism. Simulation results are included to illustrate the effectiveness of the proposed control method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据