DocumentCode
2380568
Title
Approximate low rank solutions of Lyapunov equations via proper orthogonal decomposition
Author
Singler, John R.
Author_Institution
Sch. of Mech., Oregon State Univ. Corvallis, Corvallis, OR
fYear
2008
fDate
11-13 June 2008
Firstpage
267
Lastpage
272
Abstract
We present an algorithm to approximate the solution Z of a stable Lyapunov equation AZ + ZA* + BB* = 0 using proper orthogonal decomposition (POD). This algorithm is applicable to large-scale problems and certain infinite dimensional problems as long as the rank of B is relatively small. In the infinite dimensional case, the algorithm does not require matrix approximations of the operators A and B. POD is used in a systematic way to provide convergence theory and simple a priori error bounds.
Keywords
Lyapunov methods; approximation theory; matrix algebra; multidimensional systems; Lyapunov equations; approximate low rank solutions; infinite dimensional problems; large-scale problems; matrix approximations; proper orthogonal decomposition; Approximation algorithms; Computational efficiency; Computational modeling; Differential equations; Industrial control; Iterative algorithms; Large-scale systems; Manufacturing industries; Riccati equations; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586502
Filename
4586502
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