Disentangled Control of Multi-Agent Systems
Abstract
This paper develops a general framework with convergence guarantees for multi-agent control synthesis, which applies to a wide range of problems, including those with time-varying objective functions. The proposed framework achieves decentralization without inducing entangled dynamics among agents, and it naturally supports multi-objective robotics and real-time implementation. To demonstrate its generality and effectiveness, the framework is applied to three representative problems, namely time-varying leader-follower formation control, decentralized coverage control for time-varying density functions, which is a long-standing open problem, and safe formation navigation in a dense environment.
Fields of Study & Subjects
Distributed Control Multi-Agent Systems
Reinforcement Learning in Robotics
Adaptive Dynamic Programming Control
Publication details
- Journal / source
- IEEE Transactions on Control of Network Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Pages
- 1–10
- Publication date
- 1 January 2026