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Reducing the dimensionality of linear quadratic...
Journal article

Reducing the dimensionality of linear quadratic control problems

Abstract

In linear-quadratic control (LQC) problems with singularities in the control cost and/or the transition matrices, we derive a reduction of the dimension of the Riccati matrix, simplifying iteration and solution. Employing a novel transformation, we show that, under a certain rank condition, the matrix of optimal feedback coefficients is linear in the reduced Riccati matrix. For a substantive class of problems, our technique permits scalar …

Authors

Balvers RJ; Mitchell DW

Journal

Journal of Economic Dynamics and Control, Vol. 31, No. 1, pp. 141–159

Publisher

Elsevier

Publication Date

January 2007

DOI

10.1016/j.jedc.2005.09.013

ISSN

0165-1889