.png){kind=icon}
返回
Distributed Optimal Consensus Control Algorithm for Continuous-Time Multi-Agent Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TCSII.2019.2900758.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This brief proposes a distributed algorithm to solve the optimal consensus control problem of continuous-time multi-agent systems. With the definition of consensus manifold, the utility function of the optimization problem is formulated as a linear quadratic polynomial which indicates the tradeoff between convergence rate and energy cost in a finite horizon. Applying the alternating direction method of multiplier, the optimal consensus problem is separated into three subproblems: 1) an input optimization problem; 2) a consensus state optimization problem; and 3) a dual optimization problem, thereby separating the communication topology and the agents dynamics. Then, these subproblems can be analyzed and solved independently, following from which that a distributed control algorithm is proposed to allow the continuous-time multi-agent systems to reach optimal consensus. A numerical example is given to demonstrate the effectiveness of the proposed algorithm.
Keyword:
Optimization
Indexes
Multi-agent systems
Convergence
Heuristic algorithms
Optimal control
Riccati equations
Optimal consensus
distributed optimization
optimal control systems
heterogeneous systems
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
I
IF:
4.9
论文数:
8.8K
被引数:
2.5W
机构
引用论文
Distributed constrained optimal consensus of multi-agent systems多智能体系统的分布式约束最优一致性.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏Carbon Neutral Production of Syngas via High Temperature Electrolytic Reduction of Steam and CO2
OAAI
OAAI分享收藏
查看更多内容