首页 /研究 /Direct data-driven interpolation and approximation of linear parameter-varying system trajectories
OTHER

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

Chris Verhoek, Ivan Markovsky, Roland Tóth

发表年份
2025
访问权限
开放获取

摘要

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.

关键词

eess.SYeess.SPmath.OC

相关论文

查看 OTHER 分类全部论文