SYROSYMay 1

Disentangled Control of Multi-Agent Systems

arXiv:2511.0590075.9h-index: 22
AI Analysis

This provides a unified solution to decentralized multi-agent control with convergence guarantees, addressing open problems in coverage control for time-varying densities.

The paper introduces a general framework for multi-agent control synthesis that achieves decentralization without dynamical coupling, with convergence guarantees for time-varying objectives. It solves three representative problems, including decentralized coverage control for time-varying density functions without approximations, a long-standing open problem.

This paper develops a general framework for multi-agent control synthesis, which applies to a wide range of problems with convergence guarantees, including those with time-varying objective functions. The proposed framework achieves decentralization without inducing dynamical coupling among agents, and it naturally supports multi-objective robotics and real-time implementation. To demonstrate its generality and effectiveness, the framework is applied to solve three representative problems, namely time-varying leader-follower formation control, decentralized coverage control for time-varying density functions without approximations, which is a long-standing open problem, and safe formation navigation in a dense environment.

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