TY - GEN
T1 - Prescribed-time Bipartite Consensus Formation Control for General Linear Multi-agent Systems
AU - Zhou, Yuan
AU - Liu, Yongfang
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/18
Y1 - 2020/10/18
N2 - The prescribed-time bipartite consensus formation problem for multi-agent systems with general linear dynamics is analyzed in this paper, where the underlying directed topologies both contain cooperative and antagonistic interaction. Firstly, by leveraging Pontryagin's maximum principle, the distributed bipartite consensus formation controllers are developed. In particular, the settling time can be arbitrarily prescribed according to practical demand. Then, under the application of proposed controllers, the bipartite consensus formation is achieved by multi-step motion planning. Here, the bipartite consensus formation means that the agents among each group achieve own desired formation configuration and move in an opposite direction with their rival group. Moreover, the formation problem degenerates into consensus problem when formation configuration vectors are appointed as 0. Besides, while solving formation problems, a performance indicator with respect to control input we select is optimal, which is meaningful for formation with limited energy in actual application. Compared with existing works on this issue, a main contribution of this paper lies in that the distributed bipartite consensus formation controllers with a prescribed settling time are raised, which solve the two major problems of achieving formation configurations at a prescribed time and limitation of the energy supply in formation flying, simultaneously. Finally, numerical prescribed-time bipartite consensus formation examples are formulated to illustrate the effectiveness of controllers.
AB - The prescribed-time bipartite consensus formation problem for multi-agent systems with general linear dynamics is analyzed in this paper, where the underlying directed topologies both contain cooperative and antagonistic interaction. Firstly, by leveraging Pontryagin's maximum principle, the distributed bipartite consensus formation controllers are developed. In particular, the settling time can be arbitrarily prescribed according to practical demand. Then, under the application of proposed controllers, the bipartite consensus formation is achieved by multi-step motion planning. Here, the bipartite consensus formation means that the agents among each group achieve own desired formation configuration and move in an opposite direction with their rival group. Moreover, the formation problem degenerates into consensus problem when formation configuration vectors are appointed as 0. Besides, while solving formation problems, a performance indicator with respect to control input we select is optimal, which is meaningful for formation with limited energy in actual application. Compared with existing works on this issue, a main contribution of this paper lies in that the distributed bipartite consensus formation controllers with a prescribed settling time are raised, which solve the two major problems of achieving formation configurations at a prescribed time and limitation of the energy supply in formation flying, simultaneously. Finally, numerical prescribed-time bipartite consensus formation examples are formulated to illustrate the effectiveness of controllers.
KW - Bipartite Consensus Formation
KW - Linear systems
KW - Multi-step Motion Planning
KW - Prescribed Setting time
UR - http://www.scopus.com/inward/record.url?scp=85097739366&partnerID=8YFLogxK
U2 - 10.1109/IECON43393.2020.9255056
DO - 10.1109/IECON43393.2020.9255056
M3 - 会议稿件
AN - SCOPUS:85097739366
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 3562
EP - 3567
BT - Proceedings - IECON 2020
PB - IEEE Computer Society
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -