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Data-driven structured realization

Authors: Schulze, Philipp; Unger, Benjamin; Beattie, Christopher; Gugercin, Serkan;

Data-driven structured realization

Abstract

We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form $\widetilde{C}(\sum_{k=1}^K h_k(s)\widetilde{A}_k)^{-1}\widetilde{B}$ where $h_1, h_2, \ldots, h_K$ are prescribed functions that specify the surmised structure of the model. Our construction is data-driven in the sense that an interpolant is derived entirely from measurements of a transfer function. Our approach extends the Loewner realization framework to a more general system structure that includes second-order (and higher) systems as well as systems with internal delays. Numerical examples demonstrate the advantages of this approach.

Countries
Germany, United States
Keywords

second-order system, Mathematics, Applied, moment matching, INTERPOLATION, Systems and Control (eess.SY), NONLINEAR-SYSTEMS, LINEAR-SYSTEMS, 93B15, 30E05, 93C05, Moment problems and interpolation problems in the complex plane, Electrical Engineering and Systems Science - Systems and Control, Approximation methods and numerical treatment of dynamical systems, Moment matching, Large-scale systems, Realizations from input-output data, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, delay system, Mathematics - Numerical Analysis, info:eu-repo/classification/ddc/510, ddc:510, Structured realization, TIME-DELAY SYSTEMS, Data-driven model reduction, Numerical Analysis (math.NA), FRAMEWORK, Delay system, interpolation, Interpolation, data-driven model reduction, Linear systems in control theory, Second-order system, structured realization, DYNAMICAL-SYSTEMS, MODEL ORDER REDUCTION, Mathematics, APPROXIMATION

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
Green
bronze