.png){kind=icon}
返回
Distributed model predictive control for consensus of nonlinear second-order multi-agent systems
.png){kind=icon}
PRE
AI
DOI：10.1002/rnc.3603.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a distributed model predictive control algorithm for the consensus of nonlinear second-order multi-agent systems. At each update time, all the agents are permitted to optimize. A positively invariant terminal region and a corresponding auxiliary controller are developed for each agent. Furthermore, time-varying compatibility constraint is presented to denote a degree of consistency between the assumed trajectories and the actual trajectories of each agent. Given the designed terminal ingredients (terminal region, auxiliary controller, and terminal cost) and compatibility constraints, the recursive feasibility and closed-loop stability of the whole system are guaranteed. The simulation results are given to illustrate the effectiveness of the proposed approach. Copyright (c) 2016 John Wiley & Sons, Ltd.
Keyword:
nonlinear second-order system
distributed model predictive control
compatibility constraint
invariant terminal region
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
7.0K
被引数:
1.4W
机构
引用论文
Decentralized receding horizon control and coordination of autonomous vehicle formations自主车辆编队的分散后退地平线控制和协调
OAAI
OAAI分享收藏Distributed receding horizon control for multi-vehicle formation stabilization多车辆编队稳定的分布式滚动时域控制.png)
AUTOMATICA
OAAI
AUTOMATICAIF5.9
OAAI分享收藏分享收藏A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability具有保证稳定性的准无限水平非线性模型预测控制方案AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容