通过交换网络拓扑结构实现联网机器人系统的多重对称任务控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Zhaoyan Wang, Hengyu Li, Jun Liu, Yueying Wang, Shaorong Xie, Jun Luo
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引用次数: 0

摘要

本文探讨了在交换通信网络拓扑结构下,以欧拉-拉格朗日方程为模型的联网机器人系统的多对称任务控制问题。文章提出了一种借助多个虚拟领导者的分布式协调控制协议。基于网络拓扑的特殊结构,给出了网络实现多重对称共识的一些几何收敛标准。最后,提出了两个分别在七个双链路旋臂和十一个质量代理上进行的模拟,以说明我们的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple symmetric task control for networked robot systems over switching network topology

This article addresses the multiple symmetric task control issue of networked robot systems modeled by the Euler–Lagrange equation under a switching communication network topology. A distributed coordinated control protocol is presented with the aid of multiple virtual leaders. Based on the special structure of the network topology, some geometric convergence criteria under which the network can realize multiple symmetric consensus is given. Finally, two simulations conducted on seven two-link revolute arms and eleven mass agents are proposed to illustrate our design, respectively.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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