This paper develops a general framework for multi-agent control synthesis, which applies to a wide range of problems with convergence guarantees, regardless of the complexity of the underlying graph topology and the explicit time dependence of the objective function. The proposed framework systematically addresses a particularly challenging problem in multi-agent systems, i.e., decentralization of entangled dynamics among different agents, and it naturally supports multi-objective robotics and real-time implementations. To demonstrate its generality and effectiveness, the framework is implemented across three experiments, namely time-varying leader-follower formation control, decentralized coverage control for time-varying density functions without any approximations, which is a long-standing open problem, and safe formation navigation in dense environments.
Disentangled Control of Multi-Agent Systems
Ruoyu Lin,Gennaro Notomista,Magnus Egerstedt
Published 2025 in arXiv.org
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- Publication year
2025
- Venue
arXiv.org
- Publication date
2025-11-08
- Fields of study
Computer Science, Engineering
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