.png){kind=icon}
.png){kind=icon}
Return
Containment Control for Multi-Agent Systems With Markovian Switching Topologies: A Distributed Relay Strategy
.png){kind=icon}
PRE
AI
L
X
L
M
DOI：10.1016/j.jfranklin.2026.108727.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Aiming at the special case of long-distance transmission of leader agents, the precise estimation of their states is realized by introducing an auxiliary relay mechanism. • An innovative distributed relay strategy is proposed, which effectively enables follower agents to rapidly converge into the convex hull formed by the leader agents through assisting the leader agents in implementing containment control. • The introduction of the Markov switching topology significantly enhances the model’s ability to adapt to complex environments, enabling the model to exhibit superior collaborative effects when working in synergy with other algorithms.
Keywords:
Containment Control
Multi-Agent Systems
Markovian Switching Topologies
Distributed Relay Strategy
State Estimation
Journal
J
IF:
4.2
Papers:
812
Citations:
0
Organization
Cited Papers