arXiv · 1508.03446
Moment Matching Based Model Reduction for LPV State-Space Models
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.
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Mert Bastug, Mihaly Petreczky, Roland Toth, Rafael Wisniewski, John Leth, Denis Efimov. 2015-08-14. Moment Matching Based Model Reduction for LPV State-Space Models. https://arxiv.org/abs/1508.03446
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