TY - GEN
T1 - Optimal switching policies using coarse timesteppers
AU - Armaou, Antonios
AU - Kevrekidis, Ioannis G.
PY - 2003
Y1 - 2003
N2 - We present a computer-assisted approach to approximating coarse optimal switching policies for systems described by microscopic/stochastic evolution rules. The "oarse 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.
AB - We present a computer-assisted approach to approximating coarse optimal switching policies for systems described by microscopic/stochastic evolution rules. The "oarse 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.
UR - https://www.scopus.com/pages/publications/1542319922
UR - https://www.scopus.com/pages/publications/1542319922#tab=citedBy
U2 - 10.1109/CDC.2003.1272514
DO - 10.1109/CDC.2003.1272514
M3 - Conference contribution
AN - SCOPUS:1542319922
SN - 0780379241
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5508
EP - 5513
BT - Proceedings of the IEEE Conference on Decision and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 42nd IEEE Conference on Decision and Control
Y2 - 9 December 2003 through 12 December 2003
ER -