Practical time-varying output formation tracking for high-order multi-agent systems with collision avoidance, obstacle dodging and connectivity maintenance

被引:32
|
作者
Yu, Jianglong [1 ]
Dong, Xiwang [1 ,2 ,3 ]
Li, Qingdong [1 ]
Ren, Zhang [1 ,3 ]
机构
[1] Beihang Univ, Sci & Technol Aircraft Control Lab, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 12期
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
CONSENSUS TRACKING; SWITCHING TOPOLOGIES; DIRECTED-GRAPHS; MOBILE ROBOTS; LEADER; PROTOCOLS; FLOCKING; AGENTS;
D O I
10.1016/j.jfranklin.2019.05.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Practical time-varying output formation tracking problems with collision avoidance, obstacle dodging and connectivity maintenance for high-order multi-agent systems are investigated, and the practical time-varying output formation tracking error is controlled within an arbitrarily small bound. The outputs of followers are designed to track the output of the leader with unknown control input while retaining the predefined time-varying formation. Uncertainties are considered in the dynamics of the followers and the leader. Firstly, distributed extended state observers are developed to estimate the uncertainties and the leader's unknown control input. A strategy of obstacle dodging is given by designing an ideal secure position for the followers which are in the threatened area of the obstacles. By constructing collision avoidance, obstacle dodging and connectivity maintenance artificial potential functions, corresponding negative gradient terms are calculated to achieve the safety guarantee. Secondly, a practical time-varying output formation tracking protocol is proposed by using distributed extended state observers and the negative gradient terms. Additionally, an approach is presented to determine the gain parameters in the protocol. The stability of the closed-loop multi-agent system with the protocol is analyzed by using Lyapunov stability theory. Finally, a simulation experiment is provided to illustrate the effectiveness of the obtained methods. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:5898 / 5926
页数:29
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