Nonlinear Sciences – Cellular Automata and Lattice Gases
Scientific paper
2003-09-05
Nonlinear Sciences
Cellular Automata and Lattice Gases
Scientific paper
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.
Armaou Antonios
Kevrekidis Ioannis G.
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