The turnpike control in stochastic multi-agent dynamics: a discrete-time approach with exponential integrators

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Hauptverfasser: Cassini, Fabio, Segala, Chiara
Format: Preprint
Veröffentlicht: 2025
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author Cassini, Fabio
Segala, Chiara
author_facet Cassini, Fabio
Segala, Chiara
contents In this manuscript, we study the turnpike property in stochastic discrete-time optimal control problems for interacting agents. Extending previous deterministic results, we show that the turnpike effect persists in the presence of noise under suitable dissipativity and controllability conditions. To handle the possible stiffness in the system dynamics, we employ for the time discretization, integrators of exponential type. Numerical experiments validate our findings, demonstrating the advantages of exponential integrators over standard explicit schemes and confirming the effectiveness of the turnpike control even in the stochastic setting.
format Preprint
id arxiv_https___arxiv_org_abs_2503_09549
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The turnpike control in stochastic multi-agent dynamics: a discrete-time approach with exponential integrators
Cassini, Fabio
Segala, Chiara
Optimization and Control
Numerical Analysis
In this manuscript, we study the turnpike property in stochastic discrete-time optimal control problems for interacting agents. Extending previous deterministic results, we show that the turnpike effect persists in the presence of noise under suitable dissipativity and controllability conditions. To handle the possible stiffness in the system dynamics, we employ for the time discretization, integrators of exponential type. Numerical experiments validate our findings, demonstrating the advantages of exponential integrators over standard explicit schemes and confirming the effectiveness of the turnpike control even in the stochastic setting.
title The turnpike control in stochastic multi-agent dynamics: a discrete-time approach with exponential integrators
topic Optimization and Control
Numerical Analysis
url https://arxiv.org/abs/2503.09549