TY - GEN
T1 - Motion-planning-based formation-containment control for multi-agent systems
AU - Yongfang, Liu
AU - Yu, Zhao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - This paper studies the formation-containment problem for multi-agent systems. By using motion-planning approaches, a new class of distributed formation-containment protocols are designed for multi-agent systems such that the states of followers asymptotically converge to the convex hull formed by the states of leaders. Then, by selecting a special sampling time sequence, the finite-time formation-containment problem are solved for multi-agent systems. Finally, a numerical simulation is shown to verify the theory results in this paper.
AB - This paper studies the formation-containment problem for multi-agent systems. By using motion-planning approaches, a new class of distributed formation-containment protocols are designed for multi-agent systems such that the states of followers asymptotically converge to the convex hull formed by the states of leaders. Then, by selecting a special sampling time sequence, the finite-time formation-containment problem are solved for multi-agent systems. Finally, a numerical simulation is shown to verify the theory results in this paper.
KW - formation-containment
KW - motion planning
KW - Multi-agent system
UR - http://www.scopus.com/inward/record.url?scp=85050850240&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2018.8407121
DO - 10.1109/CCDC.2018.8407121
M3 - 会议稿件
AN - SCOPUS:85050850240
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 148
EP - 153
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -