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An optimal control problem for a wiener process with random infinitesimal mean

Mario Lefebvre and Abderrrazak Moutassim

Paper (2017)

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Abstract

We consider a stochastic optimal control problem for one-dimensional diffusion processes with random infinitesimal mean and variance that depend on a continuoustime Markov chain. The process is controlled until it reaches either end of an interval. The aim is to minimize the expected value of a cost criterion with quadratic control costs on the way and a final cost. A particular case with a Wiener process will be treated in detail. Approximate and numerical solutions will be presented.

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Subjects: 2950 Applied mathematics > 2950 Applied mathematics
Department: Department of Mathematics and Industrial Engineering
Funders: NSERC / CRSNG
PolyPublie URL: https://publications.polymtl.ca/44556/
Conference Title: International Workshop on New Approaches to Study Complex Systems
Conference Location: Messina, Italie
Conference Date(s): 2017-11-27 - 2017-11-28
Journal Title: Atti della Accademia Peloritana dei Pericolanti - Classe di Scienze Fisiche, Matematiche e Naturali (vol. 97, no. S2 - A1)
DOI: 10.1478/aapp.97s2a1
Official URL: https://doi.org/10.1478/aapp.97s2a1
Date Deposited: 18 Apr 2023 15:02
Last Modified: 17 Nov 2024 17:51
Cite in APA 7: Lefebvre, M., & Moutassim, A. (2017, November). An optimal control problem for a wiener process with random infinitesimal mean [Paper]. International Workshop on New Approaches to Study Complex Systems, Messina, Italie (9 pages). Published in Atti della Accademia Peloritana dei Pericolanti - Classe di Scienze Fisiche, Matematiche e Naturali, 97(S2 - A1). https://doi.org/10.1478/aapp.97s2a1

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