Optimal switching policies using coarse timesteppers

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dc.creatorArmaou, Antonios
dc.creatorKevrekidis, Ioannis G.
dc.date2003-09-05
dc.date.accessioned2026-07-07T05:34:56Z
dc.date.available2026-07-07T05:34:56Z
dc.descriptionWe 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.
dc.identifierhttps://arxiv.org/abs/nlin/0309024
dc.identifierhttp://arxiv.org/abs/nlin/0309024
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/80555
dc.subjectCellular Automata and Lattice Gases
dc.titleOptimal switching policies using coarse timesteppers
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