Decomposition of large-scale stochastic optimal control problems
july, 2010
Publication type:
Paper in peer-reviewed journals
Journal:
RAIRO Operations Research, vol. 44, pp. 167-183
DOI:
HAL:
Keywords :
Stochastic optimal control - Decomposition methods - Dynamic programming
Abstract:
In this paper, we present an Uzawa-based heuristic that is adapted to some type of stochastic optimal control problems. More precisely, we consider dynamical systems that can be divided into small-scale independent subsystems, though 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.
BibTeX:
@article{Bar-Car-Gir-2010, author={Kengy Barty and Pierre Carpentier and Pierre Girardeau }, title={Decomposition of large-scale stochastic optimal control problems }, doi={10.1051/ro/2010013 }, journal={RAIRO Operations Research }, year={2010 }, month={7}, volume={44 }, pages={167--183}, }