TY - GEN
T1 - Collision-free formation control for multi-agent systems using sample-date interactions
AU - Li, Jun
AU - Song, Shenmin
AU - Wei, Mingjun
N1 - Publisher Copyright:
© 2024 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2024
Y1 - 2024
N2 - This paper investigates the collision-free formation control problem for the second-order multi-agent systems (MAS) under sample-date interactions. Considering that only a part of followers have access to the motion of the leader, a distributed observer is developed to reconstruct the tracking information for each follower. Note that in the cyber layer, only the sampled date is utilized and the observed state is updated at sampled instants, which helps alleviate the communication occupation. In the physical layer, a control barrier function (CBF)-based algorithm is proposed based on backstepping framework. By virtue of quadratic programming (QP) method, the constrained problem is formulated to generate an optimal guidance law without compromising the stability and safety constraints. In this way, each follower is able to achieve the formation tracking objective without collisions among static and moving obstacles. The stability of the system is verified via Lyapunov analysis and the simulations are conducted to show the effectiveness of the proposed strategy.
AB - This paper investigates the collision-free formation control problem for the second-order multi-agent systems (MAS) under sample-date interactions. Considering that only a part of followers have access to the motion of the leader, a distributed observer is developed to reconstruct the tracking information for each follower. Note that in the cyber layer, only the sampled date is utilized and the observed state is updated at sampled instants, which helps alleviate the communication occupation. In the physical layer, a control barrier function (CBF)-based algorithm is proposed based on backstepping framework. By virtue of quadratic programming (QP) method, the constrained problem is formulated to generate an optimal guidance law without compromising the stability and safety constraints. In this way, each follower is able to achieve the formation tracking objective without collisions among static and moving obstacles. The stability of the system is verified via Lyapunov analysis and the simulations are conducted to show the effectiveness of the proposed strategy.
KW - control barrier function
KW - distributed observer
KW - multi-agent systems
KW - sample-date interactions
UR - https://www.scopus.com/pages/publications/85205485668
U2 - 10.23919/CCC63176.2024.10661534
DO - 10.23919/CCC63176.2024.10661534
M3 - 会议稿件
AN - SCOPUS:85205485668
T3 - Chinese Control Conference, CCC
SP - 434
EP - 439
BT - Proceedings of the 43rd Chinese Control Conference, CCC 2024
A2 - Na, Jing
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 43rd Chinese Control Conference, CCC 2024
Y2 - 28 July 2024 through 31 July 2024
ER -