网络拉格朗日系统的协同跟踪控制:算法与实验

Q2 Computer Science 自动化学报 Pub Date : 2014-11-01 DOI:10.1016/S1874-1029(14)60402-X
Gang CHEN , Yuan-Long YUE , Qing LIN
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引用次数: 2

摘要

研究了存在参数不确定性的一组拉格朗日系统的协调跟踪问题。利用李亚普诺夫技术,提出了分布式自适应控制器。与以往在网络拉格朗日系统控制方面的研究相比,本文的研究结果适用于一般有向图通信拓扑。在期望轨迹仅适用于部分拉格朗日系统的情况下,讨论了具有一般有向图通信拓扑的协同跟踪问题,该拓扑包含一棵以根节点为活动目标系统的生成树。在邻居速度不可用的情况下,引入分布式滤波器来克服这一缺陷。在网络化机械臂上的实验结果表明了所提控制算法的有效性。
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Cooperative Tracking Control for Networked Lagrange Systems: Algorithms and Experiments

This paper considers the coordinated tracking problem for a group of Lagrange systems in the presence of parametric uncertainties. Distributed adaptive controllers are proposed with the aid of Lyapunov techniques. Compared with the previous work in the context of networked Lagrange systems control, the results in this paper are suitable for the general digraph communication topologies. Under the condition that the desired trajectory is only available to a portion of Lagrange systems, we discuss the cooperative tracking problem with general digraph communication topology, which contains a spanning tree with the root node being the active target system. Under the case where the neighbor's velocity is unavailable, a distributed filter is introduced to overcome this deficiency. Experimental results on networked robot-arms are provided to show the effectiveness of the proposed control algorithms.

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来源期刊
自动化学报
自动化学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
4.80
自引率
0.00%
发文量
6655
期刊介绍: ACTA AUTOMATICA SINICA is a joint publication of Chinese Association of Automation and the Institute of Automation, the Chinese Academy of Sciences. The objective is the high quality and rapid publication of the articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technology, and industrial standards in automation.
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