Continuification-based control of large multiagent systems in a ring
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Abstract (arXiv)
In this paper, we propose a method to control large-scale multiagent systems swarming in a ring. Specifically, we use a continuification-based approach that transforms the microscopic, agent-level description of the system dynamics into a macroscopic, continuum-level representation, which we employ to synthesize a control action towards a desired distribution of the agents. The continuum-level control action is then discretized at the agent-level in order to practically implement it. To confirm the effectiveness and the robustness of the proposed approach, we complement theoretical derivations with a series of numerical simulations.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2022.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Lawscited by 8
- 2025Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learningcited by 2
- 2025Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systemscited by 1
- 2026Schr"odinger Bridges over Kinetic Swarming Modelscited by 0
- 2026Schr"odinger Bridges over Kinetic Swarming Models26 Aug 2026
- 2025Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning5 Aug 2025
- 2025Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems14 Apr 2025
- 2024GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws29 Oct 2024