mlsanityData to 14 Oct 2026

Data-driven Structured Realization

arXiv 1611.02072 ↗First posted 7 Nov 2016eess.SY cs.NA cs.SYcited by 11

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Abstract (arXiv)

We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form C(sumk=1K hk(s)Ak)-1B where h1,h2,ldots,hK 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 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.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Nov 2016.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 2; 2025: 2; 2026: 1.

11 papers.