首页 /研究 /Task-space cooperative tracking control of multi-robot systems with unknown parameters and time delays
SWARM

Task-space cooperative tracking control of multi-robot systems with unknown parameters and time delays

Xinwu Liang, Hesheng Wang, Yunhui Liu, Weidong Chen, Le Xie

发表年份
2018
引用次数
2

摘要

In this paper, the task-space cooperative tracking control problem of multi-robot systems on strongly connected digraphs is studied. To solve such synchronization problem, a novel adaptive control approach is proposed by introducing task-space synchronization errors between neighboring robotic systems into the task-space reference velocity/acceleration. To cope with unknown kinematic and dynamic parameters, adaptive laws are developed without explicitly incorporating synchronization terms. Lyapunov stability theory is used to rigorously prove asymptotical convergence of the task-space synchronization and tracking errors by fully considering the time delays. Finally, simulation results are given to illustrate the performance of the proposed task-space cooperative tracking control approach.

关键词

Synchronization (alternating current)Control theory (sociology)Convergence (economics)KinematicsComputer scienceTracking (education)Task (project management)Lyapunov stabilityAdaptive controlAcceleration

相关论文

查看 SWARM 分类全部论文