Decomposition of large-scale stochastic optimal control problems

Abstract : In this paper, we present an Uzawa-based heuristic that is adapted to certain type of stochastic optimal control problems. More precisely, we consider dynamical systems that can be divided into smallscale subsystems linked through a static almost sure coupling constraint at each time step. This type of problem is common in production/ portfolio management where subsystems are, for instance, power units, and one has to supply a stochastic power demand at each time step. We outline the framework of our approach and present promising numerical results on a simplified power management problem.
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Contributor : Pierre Carpentier <>
Submitted on : Monday, November 23, 2015 - 10:50:42 AM
Last modification on : Wednesday, July 3, 2019 - 10:48:04 AM

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Pierre Carpentier, Kengy Barty, Pierre Girardeau. Decomposition of large-scale stochastic optimal control problems. RAIRO - Operations Research, EDP Sciences, 2010, 44, pp.167-183. ⟨10.1051/ro/2010013⟩. ⟨hal-01232179⟩

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