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Publications about 'System Identification'

Articles in journal, book chapters


R. Delabays,
G. De Pasquale,
F. Dörfler,
and Y. Zhang.
Hypergraph reconstruction from dynamics.
2024.
Note: Submitted. Available at https://arxiv.org/abs/2402.00078. Keyword(s): Algebraic Graph Theory,
System Identification.
[bibtexentry]

V. Häberle,
X. He,
L. Huang,
E. Prieto,
and F. Dörfler.
Optimal Dynamic Ancillary Services Provision Based on Local Power Grid Perception.
January 2024.
Note: Submitted. Available at https://arxiv.org/abs/2401.17793. Keyword(s): Dynamic Virtual Power Plants,
Power Networks,
Linear Control Design,
System Identification.
[bibtexentry]

J.S. Brouillon,
E. Fabbiani,
P. Nahata,
K. Moffat,
F. Dörfler,
and G. FerrariTrecate.
Bayesian ErrorinVariables Models for the Identification of Power Networks.
IEEE Transactions on Smart Grid,
14(22):12891299,
2023.
Keyword(s): Power Networks,
System Identification.
[bibtexentry]

J.S. Brouillon,
G. FerrariTrecate,
K. Moffat,
and F. Dörfler.
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation.
September 2023.
Note: Submitted. Available at https://arxiv.org/abs/2401.09989. Keyword(s): AC optimal power flow,
System Identification,
Power Networks.
[bibtexentry]

F. Dörfler.
DataDriven Control: Part One of Two: A Special Issue Sampling from a Vast and Dynamic Landscape.
IEEE Control Systems Magazine,
43(4):2427,
2023.
Keyword(s): DataDriven Control,
System Identification.
[bibtexentry]

F. Dörfler.
DataDriven Control: Part Two of Two: Hot Take: Why not go with Models?.
IEEE Control Systems Magazine,
43(6):2731,
2023.
Keyword(s): DataDriven Control,
System Identification.
[bibtexentry]

I. Markovsky and F. Dörfler.
Identifiability in the Behavioral Setting.
IEEE Transactions on Automatic Control,
68(3):16671677,
2023.
Keyword(s): Behavioral Systems Theory,
DataDriven Control,
System Identification.
[bibtexentry]

I. Markovsky,
L. Huang,
and F. Dörfler.
Datadriven control based on behavioral approach: From theory to applications in power systems.
IEEE Control Systems Magazine,
43(4):2868,
2023.
Keyword(s): Behavioral Systems Theory,
DataDriven Control,
System Identification.
[bibtexentry]

I. Markovsky,
E. Prieto,
and F. Dörfler.
On the persistency of excitation.
Automatica,
147:110657,
2022.
Keyword(s): Behavioral Systems Theory,
DataDriven Control,
System Identification.
[bibtexentry]

I. Markovsky and F. Dörfler.
Behavioral systems theory in datadriven analysis, signal processing, and control.
Annual Reviews in Control,
52:4264,
2021.
Keyword(s): Behavioral Systems Theory,
DataDriven Control,
Bilevel Optimization,
System Identification.
[bibtexentry]

M. Andrejewski,
V. Häberle,
N. Goldschmidt,
F. Dörfler,
and H. Schulte.
Experimental Validation of a Dynamic Virtual Power Plant Concept Based on MultipleConverter Power HardwareIntheLoop Test Bench.
In 22nd Wind & Solar Integration Workshop, Copenhagen,
September 2023.
Keyword(s): Power Electronics Control,
System Identification,
Power Networks.
[bibtexentry]

V. Häberle,
L. Huang,
X. He,
E. Prieto,
R. Smith,
and F. Dörfler.
MIMO Grid Impedance Identification of ThreePhase Power Systems: Parametric vs. Nonparametric Approaches.
In Proceedings of the 62nd IEEE Conference on Decision and Control,
pages 542548,
December 2023.
Keyword(s): Power Electronics Control,
System Identification,
Power Networks.
[bibtexentry]

L. Treven,
B. Sukhija,
J. Hübotter,
F. Dörfler,
and A. Krause.
Efficient Exploration in Continuoustime Modelbased Reinforcement Learning.
In NeurIPS,
volume 36,
2023.
Keyword(s): System Identification,
DataDriven Control,
Optimal Transport.
[bibtexentry]

A. Terpin,
N. Lanzetti,
B. Yardim,
F Dörfler,
and G. Ramponi.
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions.
In NeurIPS,
2022.
Keyword(s): System Identification,
DataDriven Control,
Optimal Transport.
[bibtexentry]

A. Schlaginhaufen,
P. Wenk,
F. Dörfler,
and A. Krause.
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems.
In NeurIPS,
volume 34,
2021.
Keyword(s): System Identification,
DataDriven Control.
[bibtexentry]

L. Treven,
P. Wenk,
F. Dörfler,
and A. Krause.
Distributional Gradient Matching for Learning Uncertain Neural Dynamics.
In NeurIPS,
volume 34,
2021.
Keyword(s): System Identification,
DataDriven Control,
Optimal Transport.
[bibtexentry]

R. Delabays,
G. De Pasquale,
F. Dörfler,
and Y. Zhang.
Hypergraph reconstruction from dynamics,
January 2024.
Note: Available at https://arxiv.org/abs/2402.00078. Keyword(s): Algebraic Graph Theory,
System Identification.
[bibtexentry]

V. Häberle,
X. He,
L. Huang,
E. Prieto,
and F. Dörfler.
Optimal Dynamic Ancillary Services Provision Based on Local Power Grid Perception,
January 2024.
Note: Available at https://arxiv.org/abs/2401.17793. Keyword(s): Dynamic Virtual Power Plants,
Power Networks,
Linear Control Design,
System Identification.
[bibtexentry]

J.S. Brouillon,
G. FerrariTrecate,
K. Moffat,
and F. Dörfler.
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation,
September 2023.
Note: Available at https://arxiv.org/abs/2401.09989. Keyword(s): AC optimal power flow,
System Identification,
Power Networks.
[bibtexentry]

V. Häberle,
L. Huang,
X. He,
R. Smith,
and F. Dörfler.
MIMO Grid Impedance Identification of ThreePhase Power Systems: Parametric vs. Nonparametric Approaches,
March 2023.
Note: Available at https://arxiv.org/abs/2305.00192. Keyword(s): Power Electronics Control,
System Identification,
Power Networks.
[bibtexentry]

L. Treven,
B. Sukhija,
J. Hübotter,
F. Dörfler,
and A. Krause.
Efficient Exploration in Continuoustime Modelbased Reinforcement Learning,
2023.
Note: Available at https://arxiv.org/abs/2310.19848. Keyword(s): System Identification,
DataDriven Control,
Optimal Transport.
[bibtexentry]

J.S. Brouillon,
E. Fabbiani,
P. Nahata,
F. Dörfler,
and G. FerrariTrecate.
Bayesian ErrorinVariables Models for the Identification of Distribution Grids.
Extended Abstract IFAC Workshop on Networked Systems,
February 2022.
Keyword(s): Power Networks,
System Identification.
[bibtexentry]

A. Terpin,
N. Lanzetti,
B. Yardim,
F Dörfler,
and G. Ramponi.
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions,
2022.
Keyword(s): System Identification,
DataDriven Control,
Optimal Transport.
[bibtexentry]

J.S. Brouillon,
E. Fabbiani,
P. Nahata,
F. Dörfler,
and G. FerrariTrecate.
Bayesian ErrorinVariables Models for the Identification of Power Networks,
July 2021.
Note: Available at https://arxiv.org/abs/2107.04480. Keyword(s): Power Networks,
System Identification.
[bibtexentry]

A. Schlaginhaufen,
P. Wenk,
F. Dörfler,
and A. Krause.
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems,
2021.
Note: Available at https://arxiv.org/abs/2110.14296#. Keyword(s): System Identification,
DataDriven Control.
[bibtexentry]

L. Treven,
P. Wenk,
F. Dörfler,
and A. Krause.
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models,
2021.
Note: Available at https://arxiv.org/abs/2106.11609. Keyword(s): DataDriven Control,
System Identification,
Optimal Transport.
[bibtexentry]
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Last modified: Wed Mar 13 09:32:47 2024
Author: Florian Dorfler.
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