Approximating a flexible beam model in the Loewner framework

Abstract

The paper develops the Loewner approach for data-based modeling of a linear distributed-parameter system. This approach is applied to a controlled flexible beam model coupled with a spring-mass system. The original dynamical system is described by the Euler-Bernoulli partial differential equation with the interface conditions due to the oscillations of the lumped part. The transfer function of this model is computed analytically, and its sampled values are then used for the data-driven design of a reduced model. A family of approximate realizations of the corresponding input-output map is constructed within the Loewner framework. It is shown that the proposed finite-dimensional approximations are able to capture the key properties of the original dynamics over a given range of observed frequencies. The robustness of the method to noisy data is also investigated.

This is a preprint version of the paper submitted to the 2023 European Control Conference (ECC)

References in corpus (5)

• Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms
• Structure-Preserving Interpolation for Model Reduction of Parametric Bilinear Systems
• On the Eigenvalue Distribution for a Beam with Attached Masses
• Asymptotic Stabilization of a Flexible Beam with an Attached Mass
• Factorization of the Loewner matrix pencil and its consequences