Mario Lefebvre and Abderrrazak Moutassim
Paper (2017)
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (484kB) |
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 |
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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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