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Autori principali: Mehta, Prashant, Meyn, Sean
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2502.00590
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author Mehta, Prashant
Meyn, Sean
author_facet Mehta, Prashant
Meyn, Sean
contents The broad goal of the research surveyed in this article is to develop methods for understanding the aggregate behavior of interconnected dynamical systems, as found in mathematical physics, neuroscience, economics, power systems and neural networks. Questions concern prediction of emergent (often unanticipated) phenomena, methods to formulate distributed control schemes to influence this behavior, and these topics prompt many other questions in the domain of learning. The area of mean field games, pioneered by Peter Caines, are well suited to addressing these topics. The approach is surveyed in the present paper within the context of controlled coupled oscillators.
format Preprint
id arxiv_https___arxiv_org_abs_2502_00590
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Functional role of synchronization: A mean-field control perspective
Mehta, Prashant
Meyn, Sean
Optimization and Control
Machine Learning
49N80, 68T05
The broad goal of the research surveyed in this article is to develop methods for understanding the aggregate behavior of interconnected dynamical systems, as found in mathematical physics, neuroscience, economics, power systems and neural networks. Questions concern prediction of emergent (often unanticipated) phenomena, methods to formulate distributed control schemes to influence this behavior, and these topics prompt many other questions in the domain of learning. The area of mean field games, pioneered by Peter Caines, are well suited to addressing these topics. The approach is surveyed in the present paper within the context of controlled coupled oscillators.
title Functional role of synchronization: A mean-field control perspective
topic Optimization and Control
Machine Learning
49N80, 68T05
url https://arxiv.org/abs/2502.00590