Optimal switching policies using coarse timesteppers

Author

Armaou, Antonios ; Kevrekidis, Ioannis G.

Author_Institution

Dept. of Chem. Eng., Pennsylvania State Univ., University Park, PA, USA

Volume

5

fYear

2003

fDate

9-12 Dec. 2003

Firstpage

5508

Abstract

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.

Keywords

Monte Carlo methods; discrete time systems; optimisation; stochastic processes; coarse timesteppers; computer assisted approach; discrete time system; kinetic Monte Carlo simulation; microscopic evolution rules; numerical optimization techniques; optimal switching policies; stable steady states; stochastic evolution rules; Bridges; Chemical engineering; Chemical technology; Equations; Feedback control; Kinetic theory; Microscopy; Steady-state; Stochastic processes; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2003. Proceedings. 42nd IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-7924-1

Type

conf

DOI

10.1109/CDC.2003.1272514

Filename

1272514