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
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;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586502