Modeling Systems Based on Noisy Frequency and Time Domain Measurements

DOI10.1007/978-3-540-93918-4_33zbMath1198.93069OpenAlexW117079632MaRDI QIDQ4931174

A. C. Ionita, Sanda Lefteriu, Athanasios C. Antoulas

Publication date: 4 October 2010

Published in: Perspectives in Mathematical System Theory, Control, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-93918-4_33

zbMATH Keywords

frequency domainhigh levels of noiseLoewner matrix framework

Mathematics Subject Classification ID

System identification (93B30) Identification in stochastic control theory (93E12)

Related Items (6)

Learning Low-Dimensional Dynamical-System Models from Noisy Frequency-Response Data with Loewner Rational Interpolation ⋮ Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference ⋮ Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data ⋮ Minimal realization and approximation of commensurate linear fractional-order systems via Loewner matrix method ⋮ 6 The Loewner framework for system identification and reduction ⋮ On Bilinear Time-Domain Identification and Reduction in the Loewner Framework

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