@inproceedings{20ffa4141bed4bb6ae5dfd608355b44f,
title = "Bipartite Antagonistic Time-Varying Formation Tracking for Multi-agent System",
abstract = "Bipartite antagonistic time-varying formation tracking problems for multi-agent systems with one dynamic leader is investigated in this paper, where the followers track the leader while achieving a pre-difined time-varying formation, and one group of followers tracks the leader while another group of followers tracks the leader at the opposite position to the origin. The competitive interactions among the followers and the external input of the leader are both taken into consideration. A distributed bipartite antagonistic time-varying formation tracking protocol is constructed by using the neighboring state information. Sufficient conditions for multi-agent system to achieve the bipartite formation tracking are given. An approach to extend the feasible set of formation is proposed and an algorithm to design the protocol is introduced. A numerical simulation is provided to demonstrate the effectiveness of the protocol.",
keywords = "Antagonistic network, Bipartite graph, Multi-agent system, Time-varying formation tracking",
author = "Jianhua Wang and Liang Han and Xiwang Dong and Qingdong Li and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8866328",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6118--6123",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "美国",
}