Signal Generator Agnostic Moment Matching

We study the model-reduction problem by moment matching for linear and nonlinear systems in a data-driven setting. We show that reduced-order models can be directly computed from input-output data without requiring knowledge of the structure of the signal generator or its internal state. The reduced...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 70; H. 11; S. 7493 - 7508
Hauptverfasser:	Bhattacharjee, Debraj, Moreschini, Alessio, Astolfi, Alessandro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational modeling Data-driven algorithms Integrated circuit modeling Interpolation Linear systems Matching Mathematical models Model reduction moment matching nonlinear model reduction Nonlinear systems Reduced order models Reduced order systems Signal generators Steady-state Time delay systems Transfer functions
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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