Disentangled Control of Multi-Agent Systems

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Authors: Ruoyu Lin, Gennaro Notomista, Magnus Egerstedt
Cited by: 0

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