Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework

DOI10.1137/17M1120233zbMath1390.35017arXiv1712.05740OpenAlexW2803092994MaRDI QIDQ4637671

Mihaly Petreczky, Ion Victor Gosea, Athanasios C. Antoulas

Publication date: 25 April 2018

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.05740

zbMATH Keywords

switched systemsmodel order reductiondata-driven methodsthe Loewner framework

Mathematics Subject Classification ID

System identification (93B30) Multivariable systems, multidimensional control systems (93C35) Frequency-response methods in control theory (93C80) Approximation by rational functions (41A20) Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs (35B30) Multidimensional problems (41A63) Realizations from input-output data (93B15) Large-scale systems (93A15)

Related Items

Modeling the Buck Converter from Measurements of Its Harmonic Transfer Function, Model Reduction and Realization Theory of Linear Switched Systems, An efficient, memory-saving approach for the Loewner framework, Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference, Model reduction for stochastic systems with nonlinear drift, Realization of multi-input/multi-output switched linear systems from Markov parameters, Minimal realization and approximation of commensurate linear fractional-order systems via Loewner matrix method, Preserving the DAE structure in the Loewner model reduction and identification framework, 6 The Loewner framework for system identification and reduction, Model Order Reduction of Switched Linear Systems with Constrained Switching

Uses Software

• MESS
• Loewner
• benchmodred

Cites Work

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