Optimal switching policies using coarse timesteppers
元胞自动机与格子气
2007-05-23 v1
摘要
We present a computer-assisted approach to approximating coarse optimal switching policies for systems described by microscopic/stochastic evolution rules. The coarse timestepper constitutes a bridge between the underlying kinetic Monte Carlo simulation and traditional, continuum numerical optimization techniques formulated in discrete time. The approach is illustrated through a simplified kinetic Monte Carlo simulation of NO reduction on a Pt catalyst: a switch between two coexisting stable steady states is implemented by minimal manipulation of a system parameter.
引用
@article{arxiv.nlin/0309024,
title = {Optimal switching policies using coarse timesteppers},
author = {Antonios Armaou and Ioannis G. Kevrekidis},
journal= {arXiv preprint arXiv:nlin/0309024},
year = {2007}
}