Direct data-driven interpolation and approximation of linear parameter-varying system trajectories

Fuente: arXiv
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Main Authors: Verhoek, Chris, Markovsky, Ivan, Tóth, Roland
Format: Preprint
Published: 2025
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author Verhoek, Chris
Markovsky, Ivan
Tóth, Roland
author_facet Verhoek, Chris
Markovsky, Ivan
Tóth, Roland
contents We consider the problem of estimating missing values in trajectories of linear parameter-varying (LPV) systems. We solve this interpolation problem for the class of shifted-affine LPV systems. Conditions for the existence and uniqueness of solutions are given and a direct data-driven algorithm for its computation is presented, i.e., the data-generating system is not given by a parametric model but is implicitly specified by data. We illustrate the applicability of the proposed solution on illustrative examples of a mass-spring-damper system with exogenous and endogenous parameter variation.
format Preprint
id arxiv_https___arxiv_org_abs_2508_11332
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Direct data-driven interpolation and approximation of linear parameter-varying system trajectories
Verhoek, Chris
Markovsky, Ivan
Tóth, Roland
Systems and Control
Signal Processing
Optimization and Control
We consider the problem of estimating missing values in trajectories of linear parameter-varying (LPV) systems. We solve this interpolation problem for the class of shifted-affine LPV systems. Conditions for the existence and uniqueness of solutions are given and a direct data-driven algorithm for its computation is presented, i.e., the data-generating system is not given by a parametric model but is implicitly specified by data. We illustrate the applicability of the proposed solution on illustrative examples of a mass-spring-damper system with exogenous and endogenous parameter variation.
title Direct data-driven interpolation and approximation of linear parameter-varying system trajectories
topic Systems and Control
Signal Processing
Optimization and Control
url https://arxiv.org/abs/2508.11332