Control Strategies for the Dynamics of Large Particle Systems

Michael Herty*, Lorenzo Pareschi, Sonja Steffensen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We survey some recent approaches to control problems for large particle systems. Particle systems are transversal to many applications, ranging from classical physics to social sciences. The temporal evolution of the particles is determined by deterministic or stochastic dynamics and they are additionally able to optimize their trajectory over a large time. In particular, we investigate the limit of infinitely many particles leading to control of kinetic partial differential equations. To this goal a different notion of differentiability of the meanfield equation is introduced. Different mathematical methods based on meanfield games, model predictive control, and optimal control techniques will be discussed.
Original languageEnglish
Title of host publicationActive Particles
Subtitle of host publicationAdvances in Theory, Models, and Applications
PublisherSpringer
Pages149-171
Number of pages23
Volume2
ISBN (Electronic)9783030202972
ISBN (Print)9783030202965
DOIs
Publication statusPublished - 23 Aug 2019

Publication series

NameModeling and Simulation in Science, Engineering and Technology
PublisherSpringer
ISSN (Print)2164-3679
ISSN (Electronic)2164-3725

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