1. 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]



2. 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. [bibtex-entry]



3. 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]



4. 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: Submitted. Available at https://arxiv.org/abs/2401.09989. Keyword(s): AC optimal power flow, System Identification, Power Networks. [bibtex-entry]



5. 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]



6. 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]



7. 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]



8. 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]



9. 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]



10. 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]

1. 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]



2. 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]



3. 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]



4. 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]



5. 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]



6. 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]

1. 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]



2. 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]



3. 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]



4. 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]



5. 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]



6. 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]



7. 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]



8. 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]



9. 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]



10. 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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