TY - GEN
T1 - Distributed Spatiotemporal Formation Control with Multiplex Information Networks
AU - Zhou, Yuan
AU - Liu, Yongfang
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Current formation control algorithms mostly focus on the single information exchange infrastructure and result in fixed and non-evolving spatial formation properties. For performing complex formation assignments, this paper introduces the multiplex information exchange rules and investigates the spatiotemporal formation of multi-agent networks. First, this paper considers a three-layer interaction network and presents a distributed leader-follower formation algorithm under the holistic planning and multi-step control (HPMSC) framework, which gives the capable leader-agents the ability to alter the size and the orientation of formation configuration spatially. Then, introducing a motion planning method and time projection method shows that the formation configurations and formation properties can be controlled within an appointed settling time. Moreover, it is feasible to extend the presented results to time-varying formation problems and more complex formation configurations over multiple information networks (more than three layers). Finally, a simulation example indicates the effectiveness of the presented algorithms.
AB - Current formation control algorithms mostly focus on the single information exchange infrastructure and result in fixed and non-evolving spatial formation properties. For performing complex formation assignments, this paper introduces the multiplex information exchange rules and investigates the spatiotemporal formation of multi-agent networks. First, this paper considers a three-layer interaction network and presents a distributed leader-follower formation algorithm under the holistic planning and multi-step control (HPMSC) framework, which gives the capable leader-agents the ability to alter the size and the orientation of formation configuration spatially. Then, introducing a motion planning method and time projection method shows that the formation configurations and formation properties can be controlled within an appointed settling time. Moreover, it is feasible to extend the presented results to time-varying formation problems and more complex formation configurations over multiple information networks (more than three layers). Finally, a simulation example indicates the effectiveness of the presented algorithms.
KW - Appointed Convergence Time
KW - Directed Information Flow
KW - HPMSC Framework
KW - Multiplex Information Networks
KW - Spatiotemporal Formation
UR - http://www.scopus.com/inward/record.url?scp=85200726772&partnerID=8YFLogxK
U2 - 10.1109/YAC63405.2024.10598579
DO - 10.1109/YAC63405.2024.10598579
M3 - 会议稿件
AN - SCOPUS:85200726772
T3 - Proceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
SP - 344
EP - 349
BT - Proceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
Y2 - 7 June 2024 through 9 June 2024
ER -