Data/moment-driven approaches for fast predictive control of collective dynamics

arXiv:2402.15611v1 Announce Type: cross
Abstract: Feedback control synthesis for large-scale particle systems is reviewed in the framework of model predictive control (MPC). The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast online dynamic optimization at every time step. Two alternatives to MPC are proposed. First, the use of supervised learning techniques for the offline approximation of optimal feedback laws is discussed. Then, a procedure based on sequential linearization of the dynamics based on …

abstract algorithms arxiv collective control cs.lg cs.ma data dynamic dynamics every feedback framework math.oc mpc optimization particle performance predictive scale synthesis systems type