Feb 23, 2024 · Both approaches circumvent the online solution of optimal control problems enabling fast, real-time, feedback synthesis for large-scale particle systems.

Feb 26, 2024 · Data/moment-driven approaches for fast predictive control of collective dynamics. February 2024. Authors: Giacomo Albi at University of Verona.

Data/moment-driven approaches for fast predictive control of collective dynamics. Albi, Giacomo (Corresponding author); Bicego, Sara (Corresponding author); ...

Fast and robust consensus-based optimization via optimal feedback control ... Data/moment-driven approaches for fast predictive control of collective dynamics.

提出了MPC 的两种替代方案。首先，讨论了使用监督学习技术来离线逼近最优反馈定律。然后，回顾了基于粒子系综宏观量的动力学顺序线性化的过程。这两种方法都绕过了最优控制 ...

Mar 6, 2024 · Data/moment-driven approaches for fast predictive control of collective dynamics. Albi, Giacomo (Corresponding author) ; Bicego, Sara ...

A linearization-based approach is used for the computation of suboptimal feedback laws obtained from the solution of differential matrix Riccati equations.

Data/moment-driven approaches for fast predictive control of collective dynamics ... The high-dimensional character of collective dynamics hampers the ...

Data/moment-driven approaches for fast predictive control of collective dynamics, G. ... dynamics in mean-field perspective, loosing the agent-based ...

Feedback control synthesis for large-scale particle systems is reviewed in the framework of model predictive control (MPC). The high-dimensional character ...