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Direct data-driven interpolation and approximation of linear parameter-varying system trajectories (2508.11332v1)
Published 15 Aug 2025 in eess.SY, cs.SY, eess.SP, and math.OC
Abstract: 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.
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