System Reduction Using an LQR-Inspired Version of Optimal Replacement Variables

System Reduction Using an LQR-Inspired Version of Optimal Replacement Variables

Year:    2012

Communications in Computational Physics, Vol. 12 (2012), Iss. 5 : pp. 1520–1540

Abstract

Optimal Replacement Variables (ORV) is a method for approximating a large system of ODEs by one with fewer equations, while attempting to preserve the essential dynamics of a reduced set of variables of interest. An earlier version of ORV [1] had some issues, including limited accuracy and in some rare cases, instability. Here we present a new version of ORV, inspired by the linear quadratic regulator problem of control theory, which provides better accuracy, a guarantee of stability and is in some ways easier to use.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.190311.270112a

Communications in Computational Physics, Vol. 12 (2012), Iss. 5 : pp. 1520–1540

Published online:    2012-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

Keywords: