Bearing-based formation control of networked robotic systems with parametric uncertainties

被引:25
|
作者
Li, Xiaolei [1 ]
Luo, Xiaoyuan [1 ]
Wang, Jiange [1 ]
Zhu, Yakun [2 ]
Guan, Xinping [3 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
[3] Shanghai Jiao Tong Univ, Inst Elect Informat & Elect Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Bearing-based formation control; networked robotic systems; bearing rigidity; adaptive control; RELATIVE POSITION MEASUREMENTS; EULER-LAGRANGE SYSTEMS; RIGID FORMATIONS; STABILIZATION; SYNCHRONIZATION; LOCALIZATION; GRAPHS; AGENTS; SPACE;
D O I
10.1016/j.neucom.2018.04.052
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the distributed bearing-based formation control problem for networked robotic systems with parametric uncertainties is investigated. Firstly, under the consideration that the task-space velocity is measurable, a reference control input is designed to achieve a bearing constrained target formation. For the unmeasurable task-space velocity case, an observer-based reference velocity scheme is proposed and only the local relative task-space position measurement is needed to achieve globally bearing-based formation stabilization. By designing a velocity feedback in proportional-integral reference velocity control scheme, at least two leaders can handle the leader-follower formation tracking problem, in which the followers do not need any global information. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed control laws. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:234 / 245
页数:12
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