By name: density-driven-optimal-control-convergence-guarant description: "This paper addresses the decentralized non-uniform area coverage problem for multi-agent systems, a critical task in missions with high spatial priority and resource constraints. W... Activation: density, driven, optimal, control, convergence"
Density-Driven Optimal Control: Convergence Guarantees for Stochastic LTI Multi-Agent Systems
Overview
This paper addresses the decentralized non-uniform area coverage problem for multi-agent systems, a critical task in missions with high spatial priority and resource constraints. While existing density-based methods often rely on computationally heavy Eulerian PDE solvers or heuristic planning, we propose Stochastic Density-Driven Optimal Control (D$^2$OC). This is a rigorous Lagrangian framework that bridges the gap between individual agent dyna
Source Paper
- Title: Density-Driven Optimal Control: Convergence Guarantees for Stochastic LTI Multi-Agent Systems
- Authors: Kooktae Lee
- arXiv: 2604.08495v1
- Published: 2026-04-09
- Categories: math.OC, cs.MA, cs.RO, eess.SY
Core Concepts
Key Contributions
- This paper addresses the decentralized non-uniform area coverage problem for multi-agent systems, a critical task in mis...
- While existing density-based methods often rely on computationally heavy Eulerian PDE solvers or heuristic planning, we ...
- This is a rigorous Lagrangian framework that bridges the gap between individual agent dynamics and collective distributi...
Practical Applications
- Control system design and optimization
- Distributed system coordination
- Multi-agent system orchestration
References
- Kooktae Lee et al. (2026). "Density-Driven Optimal Control: Convergence Guarantees for Stochastic LTI Multi-Agent Systems." arXiv:2604.08495v1.
Activation Keywords
- density, driven, optimal, control, convergence, guarantees, stochastic, multi
Generated: 2026-04-13