Moment Matching Based Model Reduction for LPV State-Space Models
Systems and Control
2015-08-17 v1
Abstract
We present a novel algorithm for reducing the state dimension, i.e. order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output behavior of the reduced order model approximates that of the original model. In fact, for input and scheduling sequences of a certain length, the input-output behaviors of the reduced and original model coincide. The proposed method can also be interpreted as a reachability and observability reduction (minimization) procedure for LPV-SS representations with affine dependence.
Cite
@article{arxiv.1508.03446,
title = {Moment Matching Based Model Reduction for LPV State-Space Models},
author = {Mert Bastug and Mihaly Petreczky and Roland Toth and Rafael Wisniewski and John Leth and Denis Efimov},
journal= {arXiv preprint arXiv:1508.03446},
year = {2015}
}