Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems
2023-12-11Code Available0· sign in to hype
Patrick J. W. Koelewijn, Rajiv Sing, Peter Seiler, Roland Tóth
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- gitlab.com/patrickkoelewijn/sysid-2024-rom-lpv-learningOfficialIn papernone★ 0
Abstract
In this paper, we consider the learning of a Reduced-Order Linear Parameter-Varying Model (ROLPVM) of a nonlinear dynamical system based on data. This is achieved by a two-step procedure. In the first step, we learn a projection to a lower dimensional state-space. In step two, an LPV model is learned on the reduced-order state-space using a novel, efficient parameterization in terms of neural networks. The improved modeling accuracy of the method compared to an existing method is demonstrated by simulation examples.