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Publications about 'System Identification'
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Articles in journal, book chapters
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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.
[bibtex-entry]
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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: To appear. DOI: 10.1109/TPWRS.2024.3447410. Keyword(s): Dynamic Virtual Power Plants,
Power Networks,
Linear Control Design,
System Identification.
[bibtex-entry]
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J.S. Brouillon,
E. Fabbiani,
P. Nahata,
K. Moffat,
F. Dörfler,
and G. Ferrari-Trecate.
Bayesian Error-in-Variables Models for the Identification of Power Networks.
IEEE Transactions on Smart Grid,
14(22):1289-1299,
2023.
Keyword(s): Power Networks,
System Identification.
[bibtex-entry]
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J.S. Brouillon,
G. Ferrari-Trecate,
K. Moffat,
and F. Dörfler.
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation.
September 2023.
Note: To appear. Available at https://arxiv.org/abs/2401.09989. Keyword(s): AC optimal power flow,
System Identification,
Power Networks.
[bibtex-entry]
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F. Dörfler.
Data-Driven Control: Part One of Two: A Special Issue Sampling from a Vast and Dynamic Landscape.
IEEE Control Systems Magazine,
43(4):24-27,
2023.
Keyword(s): Data-Driven Control,
System Identification.
[bibtex-entry]
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F. Dörfler.
Data-Driven Control: Part Two of Two: Hot Take: Why not go with Models?.
IEEE Control Systems Magazine,
43(6):27-31,
2023.
Keyword(s): Data-Driven Control,
System Identification.
[bibtex-entry]
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I. Markovsky and F. Dörfler.
Identifiability in the Behavioral Setting.
IEEE Transactions on Automatic Control,
68(3):1667-1677,
2023.
Keyword(s): Behavioral Systems Theory,
Data-Driven Control,
System Identification.
[bibtex-entry]
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I. Markovsky,
L. Huang,
and F. Dörfler.
Data-driven control based on behavioral approach: From theory to applications in power systems.
IEEE Control Systems Magazine,
43(4):28-68,
2023.
Keyword(s): Behavioral Systems Theory,
Data-Driven Control,
System Identification.
[bibtex-entry]
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I. Markovsky,
E. Prieto,
and F. Dörfler.
On the persistency of excitation.
Automatica,
147:110657,
2022.
Keyword(s): Behavioral Systems Theory,
Data-Driven Control,
System Identification.
[bibtex-entry]
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I. Markovsky and F. Dörfler.
Behavioral systems theory in data-driven analysis, signal processing, and control.
Annual Reviews in Control,
52:42-64,
2021.
Keyword(s): Behavioral Systems Theory,
Data-Driven Control,
Bilevel Optimization,
System Identification.
[bibtex-entry]
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K. Moffat,
F. Dörfler,
and A. Chiuso.
The BiaS of Subspace-based Data-Driven Predictive Control.
In ,
2024.
Note: Submitted.Keyword(s): Data-Driven Control,
Linear Control Design,
System Identification.
[bibtex-entry]
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K. Moffat,
F. Dörfler,
and A. Chiuso.
The transient predictor.
In ,
2024.
Note: To appear.Keyword(s): Data-Driven Control,
Linear Control Design,
System Identification.
[bibtex-entry]
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N. Taddei,
R. Maggioni,
J. Eising,
G. De Pasquale,
and F. Dörfler.
Distributed Time-Varying Gaussian Regression via Kalman Filtering.
In ,
2024.
Note: Submitted.Keyword(s): System Identification.
[bibtex-entry]
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M. Andrejewski,
V. Häberle,
N. Goldschmidt,
F. Dörfler,
and H. Schulte.
Experimental Validation of a Dynamic Virtual Power Plant Concept Based on Multiple-Converter Power Hardware-In-the-Loop Test Bench.
In 22nd Wind & Solar Integration Workshop, Copenhagen,
September 2023.
Keyword(s): Power Electronics Control,
System Identification,
Power Networks.
[bibtex-entry]
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V. Häberle,
L. Huang,
X. He,
E. Prieto,
R. Smith,
and F. Dörfler.
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches.
In Proceedings of the 62nd IEEE Conference on Decision and Control,
pages 542-548,
December 2023.
Keyword(s): Power Electronics Control,
System Identification,
Power Networks.
[bibtex-entry]
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L. Treven,
B. Sukhija,
J. Hübotter,
F. Dörfler,
and A. Krause.
Efficient Exploration in Continuous-time Model-based Reinforcement Learning.
In NeurIPS,
volume 36,
2023.
Keyword(s): System Identification,
Data-Driven Control,
Optimal Transport.
[bibtex-entry]
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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,
Data-Driven Control,
Optimal Transport.
[bibtex-entry]
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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,
Data-Driven Control.
[bibtex-entry]
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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,
Data-Driven Control,
Optimal Transport.
[bibtex-entry]
-
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.
[bibtex-entry]
-
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.
[bibtex-entry]
-
J.S. Brouillon,
G. Ferrari-Trecate,
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.
[bibtex-entry]
-
V. Häberle,
L. Huang,
X. He,
R. Smith,
and F. Dörfler.
MIMO Grid Impedance Identification of Three-Phase 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.
[bibtex-entry]
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L. Treven,
B. Sukhija,
J. Hübotter,
F. Dörfler,
and A. Krause.
Efficient Exploration in Continuous-time Model-based Reinforcement Learning,
2023.
Note: Available at https://arxiv.org/abs/2310.19848. Keyword(s): System Identification,
Data-Driven Control,
Optimal Transport.
[bibtex-entry]
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J.S. Brouillon,
E. Fabbiani,
P. Nahata,
F. Dörfler,
and G. Ferrari-Trecate.
Bayesian Error-in-Variables Models for the Identification of Distribution Grids.
Extended Abstract IFAC Workshop on Networked Systems,
February 2022.
Keyword(s): Power Networks,
System Identification.
[bibtex-entry]
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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,
Data-Driven Control,
Optimal Transport.
[bibtex-entry]
-
J.S. Brouillon,
E. Fabbiani,
P. Nahata,
F. Dörfler,
and G. Ferrari-Trecate.
Bayesian Error-in-Variables Models for the Identification of Power Networks,
July 2021.
Note: Available at https://arxiv.org/abs/2107.04480. Keyword(s): Power Networks,
System Identification.
[bibtex-entry]
-
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,
Data-Driven Control.
[bibtex-entry]
-
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): Data-Driven Control,
System Identification,
Optimal Transport.
[bibtex-entry]
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Last modified: Sun Nov 10 07:25:34 2024
Author: Florian Dorfler.
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