Dieses Bild zeigt Julian Berberich

Julian Berberich

Herr Dr.-Ing.

Emmy Noether-Nachwuchsgruppenleiter und Akademischer Oberrat
Institut für Systemtheorie und Regelungstechnik

Kontakt

+49 711 685 67747
 +49 711 685 67735

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 2.235

Sprechstunde

Mittwoch 13-14 Uhr in meinem Büro

In den Semesterferien nach Vereinbarung

Fachgebiet

My research interests are centered around systems and control theory with a focus on data-driven control and quantum technologies. In data-driven control, I am developing methods with rigorous stability and robustness guarantees to design safe controllers with high performance as required for complex control applications. Further, I am studying systems- and control-theoretic problems in quantum systems to improve their practical reliability. This includes, for example, the analysis of intrinsic properties of quantum algorithms such as robustness against hardware errors, modularity, and feedback mechanisms, as well as specific algorithm classes, e.g., in quantum machine learning. Moreover, I develop efficient and robust methods for estimation and control tasks which arise in real-world quantum hardware implementations.
 
 

Google Scholar profile

  1. Zeitschriftenartikel

    1. Strässer, Robin ; Schaller, Manuel ; Worthmann, Karl ; Berberich, Julian ; Allgöwer, Frank: SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems. In: Automatica Bd. 185 (2026), S. 112732
    2. Lee, Y. ; Berberich, J. ; Petersen, I. R. ; Dong, D.: Data-driven control of a single-qubit system based on unitary evolution reconstruction. In: IFAC Journal of Systems and Control Bd. 35 (2026), S. 100377
    3. Xie, Yifan ; Berberich, Julian ; Allgöwer, Frank: Data-driven min--max MPC for linear systems: Robustness and adaptation. In: Automatica Bd. 183, Elsevier (2026), S. 112612
    4. Strässer, Robin ; Worthmann, Karl ; Mezić, Igor ; Berberich, Julian ; Schaller, Manuel ; Allgöwer, Frank: An overview of Koopman-based control: From error bounds to closed-loop guarantees. In: Annual Reviews in Control Bd. 61, Elsevier (2026), S. 101035
    5. Verhoek, C. ; Berberich, J. ; Haesart, S. ; Tóth, R. ; Abbas, H.\ S.\: A linear parameter-varying approach to data predictive control. In: IEEE Trans. Automat. Control Bd. 71 (2026), S. 2512–2527
    6. Strässer, Robin ; Schaller, Manuel ; Berberich, Julian ; Worthmann, Karl ; Allgöwer, Frank: Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control. In: IEEE Control Systems Letters Bd. 9 (2025), S. 1892–1897
    7. Strässer, Robin ; Schaller, Manuel ; Worthmann, Karl ; Berberich, Julian ; Allgöwer, Frank: Koopman-based feedback design with stability guarantees. In: IEEE Transactions on Automatic Control Bd. 70 (2025), S. 355–370
    8. Strässer, Robin ; Berberich, Julian ; Allgöwer, Frank: Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency. In: European Journal of Control (2025), S. 101367
    9. Berberich, J. ; Allgöwer, F.: An overview of systems-theoretic guarantees in data-driven model predictive control. In: Annual Review of Control, Robotics, and Autonomous Systems Bd. 8 (2025), S. 77–100
    10. Strässer, Robin ; Berberich, Julian ; Schaller, Manuel ; Worthmann, Karl ; Allgöwer, Frank: Koopman-based control of nonlinear systems with closed-loop guarantees. In: at - Automatisierungstechnik Bd. 73 (2025), S. 413–428
    11. Berberich, J. ; Fink, D. ; Holm, C.: Robustness of quantum algorithms against coherent control errors. In: Physical Review A Bd. 109 (2024), S. 12417
    12. Funcke, Niklas ; Berberich, Julian: Robustness of optimal quantum annealing protocols. In: New Journal of Physics Bd. 26, IOP Publishing (2024), S. 93040
    13. Verhoek, Chris ; Berberich, Julian ; Haesaert, Sofie ; Allgöwer, Frank ; Tóth, Roland: Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. In: IEEE Transactions on Automatic Control Bd. 69 (2024), S. 8603–8616
    14. Hertneck, Michael ; Lang, Simon ; Berberich, Julian ; Allgöwer, Frank: Event-Triggered Control Based on Integral Quadratic Constraints. In: IEEE Control Systems Letters Bd. 8 (2024), S. 2039–2044
    15. Venkatasubramanian, J. ; Köhler, J. ; Berberich, J. ; Allgöwer, F.: Sequential learning and control: Targeted exploration for robust performance. In: IEEE Trans. Automat. Control Bd. 70 (2024), S. 1–16
    16. Berberich, J. ; Fink, D. ; Pranjić, D. ; Tutschku, C. ; Holm, C.: Training robust and generalizable quantum models. In: Physical Review Research Bd. 6 (2024), S. 43326
    17. Berberich, J. ; Fink, D.: Quantum computing through the lens of control: A tutorial introduction. In: IEEE Control Systems Bd. 44 (2024), S. 24–49
    18. Verhoek, C. ; Berberich, J. ; Haesart, S. ; Allgöwer, F. ; Tóth, R.: Data-driven dissipativity analysis of linear parameter-varying systems. In: IEEE Trans. Automat. Control Bd. 69 (2024), S. 8603–8616
    19. Bongard, J. ; Berberich, J. ; Köhler, J. ; Allgöwer, F.: Robust stability analysis of a simple data-driven model predictive control approach. In: IEEE Trans. Automat. Control Bd. 68 (2023), S. 2625–2637
    20. Berberich, J. ; Scherer, C. W. ; Allgöwer, F.: Combining prior knowledge and data for robust controller design. In: IEEE Trans. Automat. Control Bd. 68 (2023), S. 4618–4633
    21. Wang, Xin ; Sun, Jian ; Berberich, Julian ; Wang, Gang ; Allgöwer, Frank ; Chen, Jie: Data-driven Control of Dynamic Event-triggered Systems with Delays. In: Int. J. Robust and Nonlinear Control Bd. 33 (2023), S. 7071–7093
    22. Wang, Xin ; Berberich, Julian ; Sun, Jian ; Wang, Gang ; Allgöwer, Frank ; Chen, Jie: Model-based and data-driven control of event-and self-triggered discrete-time systems. In: IEEE Trans. Cybernetics Bd. 53 (2023), S. 6066–6079
    23. Alsalti, M. ; Lopez, V. G. ; Berberich, J. ; Allgöwer, F. ; Müller, M. A.: Data-based control of feedback linearizable systems. In: IEEE Trans. Automat. Control Bd. 68 (2023), S. 7014–7021
    24. Xie, Yifan ; Berberich, Julian ; Allgöwer, Frank: Linear Data-Driven Economic MPC with Generalized Terminal Constraint. In: IFAC World Congress (2023)
    25. Wildhagen, Stefan ; Berberich, Julian ; Hertneck, Michael ; Allgöwer, Frank: Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling. In: IEEE Transactions on Automatic Control Bd. 68 (2023), S. 3210–3225
    26. Pauli, P. ; Berberich, J. ; Allgöwer, F.: Robustness analysis and training of recurrent neural networks using dissipativity theory. In: at - Automatisierungstechnik Bd. 70 (2022), S. 730–739
    27. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Linear tracking MPC for nonlinear systems part II: the data-driven case. In: IEEE Trans. Automat. Control Bd. 67 (2022), S. 4406–4421. — extended version on arXiv:2105.08567
    28. Klöppelt, C. ; Berberich, J. ; Allgöwer, F. ; Müller, M. A.: A novel constraint-tightening approach for robust data-driven predictive control. In: Int. J. Robust and Nonlinear Control (2022)
    29. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Linear tracking MPC for nonlinear systems part I: the model-based case. In: IEEE Trans. Automat. Control Bd. 67 (2022), S. 4390–4405
    30. Pauli, P. ; Koch, A. ; Berberich, J. ; Kohler, P. ; Allgöwer, F.: Training Robust Neural Networks using Lipschitz Bounds. In: IEEE Control Systems Lett. Bd. 6 (2021), S. 121–126
    31. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Data-driven model predictive control with stability and robustness guarantees. In: IEEE Trans. Automat. Control Bd. 66 (2021), S. 1702–1717
    32. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Data-driven model predictive control: closed-loop guarantees and experimental results. In: at-Automatisierungstechnik Bd. 69 (2021), S. 608–618
    33. Koch, Anne ; Berberich, Julian ; Köhler, Johannes ; Allgöwer, Frank: Determining optimal input–output properties: A data-driven approach. In: Automatica Bd. 134 (2021), S. 109906
    34. Pauli, Patricia ; Koch, Anne ; Berberich, Julian ; Kohler, Paul ; Allgöwer, Frank: Training Robust Neural Networks Using Lipschitz Bounds. In: IEEE Control Systems Letters Bd. 6, IEEE (2021), S. 121–126
    35. Koch, A. ; Berberich, J. ; Allgöwer, F.: Provably robust verification of dissipativity properties from data. In: IEEE Transactions on Automatic Control Bd. 67 (2021), S. 4248–4255
    36. Köhler, J. ; Schwenkel, L. ; Koch, A. ; Berberich, J. ; Pauli, P. ; Allgöwer, F.: Robust and optimal predictive control of the COVID-19 outbreak. In: Annual reviews in Control (2020). — to appear
    37. Berberich, J. ; Köhler, J. ; Allgöwer, F. ; Müller, M. A.: Dissipativity properties in constrained optimal control: A computational approach. In: Automatica Bd. 114 (2020), S. 108840
    38. Romer, A. ; Berberich, J. ; Köhler, J. ; Allgöwer, F.: One-shot verification of dissipativity properties from input-output data. In: IEEE Control Systems Lett. Bd. 3 (2019), S. 709–714
    39. Berberich, J. ; Dietrich, J. W. ; Hoermann, R. ; Müller, M. A.: Mathematical modeling of the pituitary-thyroid feedback loop: role of a TSH-T3-shunt and sensitivity analysis. In: Frontiers in Endocrinology Bd. 9 (2018), S. 91
    40. Berberich, J. ; Köhler, J. ; Allgöwer, F. ; Müller, M. A.: Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. In: IEEE Control Systems Lett. Bd. 2 (2018), S. 399–404

  2. Konferenzbeiträge

    1. Xie, Yifan ; Berberich, Julian ; Allgöwer, Frank: Data-driven min-max MPC with integral quadratic constraint. In: , 2026
    2. Yifan Xie, Julian Berberich, Frank Allgöwer: Data-Driven Min-Max MPC for Linear Systems. In: , 2024, S. 3184–3189

  3. Buchkapitel

    1. Berberich, J. ; Fellner, T. ; Holm, C.: The interplay of robustness and generalization in quantum machine learning. In: Usman, M. (Hrsg.) ; Usman, M. (Hrsg.): , Quantum Science and Technology. Bd. Quantum robustness in artificial intelligence : Springer Nature, 2026, S. 209–226
    2. Strelnikova, T. ; Köhler, J. ; Berberich, J.: Adaptive tracking MPC for nonlinear systems via online linear system identification. In: Berberich, J. ; Iannelli, A. ; Allgöwer, F. (Hrsg.) ; Berberich, J. ; Iannelli, A. ; Allgöwer, F. (Hrsg.): , Lecture Notes in Control and Information Sciences -- Proceedings. Bd. Systems theory in data and optimization: Proceedings of SysDO 2024 : Springer Nature, 2025, S. 69–84

  4. Konferenzartikel

    1. Xie, Yifan ; Berberich, Julian ; Strässer, Robin ; Allgöwer, Frank: Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization. In: 64th IEEE Conference on Decision and Control (CDC), 2025
    2. Xie, Yifan ; Berberich, Julian ; Brändle, Felix ; Allgöwer, Frank: Data-driven min-max MPC for LPV systems with unknown scheduling signal. In: 23rd European Control Conference (ECC), 2025
    3. Legnini, M. ; Berberich, J.: Robust feedback-based quantum optimization: analysis of coherent control errors. In: Proc. 1st IEEE Conf. on quantum Control, Computing and Learning (qCCL). Hongkong, 2025
    4. Worthmann, Karl ; Strässer, Robin ; Schaller, Manuel ; Berberich, Julian ; Allgöwer, Frank: Data-driven MPC with terminal conditions in the Koopman framework. In: Proc. 63rd IEEE Conference on Decision and Control (CDC). Milan, Italy, 2024, S. 146–151
    5. Schneider, J. ; Berberich, J.: Using quantum computers in control: interval matrix properties. In: Proc. European Control Conf. (ECC). Stockholm, Sweden, 2024, S. 3841–3846
    6. Berberich, J. ; Kosut, R. L. ; Schulte-Herbrüggen, T.: Bringing quantum systems under control: a tutorial invitation to quantum computing and its relation to bilinear control systems. In: Proc. 63rd IEEE Conf. Decision and Control (CDC), 2024, S. 5231–5247
    7. Strässer, Robin ; Berberich, Julian ; Allgöwer, Frank: Control of bilinear systems using gain-scheduling: Stability and performance guarantees. In: Proc. 62nd IEEE Conference on Decision and Control (CDC). Singapore, Singapore, 2023, S. 4674–4681
    8. Strässer, Robin ; Berberich, Julian ; Allgöwer, Frank: Robust data-driven control for nonlinear systems using the Koopman operator. In: Proc. 22nd IFAC World Congress. Bd. 56, 2023, S. 2257–2262
    9. Berberich, J. ; Iannelli, A. ; Padoan, A. ; Coulson, J. ; Dörfler, F. ; Allgöwer, F.: A quantitative and constructive proof of Willems‘ Fundamental Lemma and its implications. In: Proc. American Control Conf. (ACC). San Diego, CA, USA, 2023, S. 4155–4160
    10. Alsalti, M. ; Lopez, V. G. ; Berberich, J. ; Allgöwer, F. ; Müller, M. A.: Data-driven nonlinear predictive control for feedback linearizable systems. In: Proc. 22nd IFAC World Congress. Yokohama, Japan, 2023, S. 617–624
    11. Köhler, M. ; Berberich, J. ; Müller, M. A. ; Allgöwer, F.: Data-driven distributed MPC of dynamically coupled linear systems. In: Proc. 25th Int. Symp. Math. Theory Netw. Syst. (MTNS). Bayreuth, Germany, 2022, S. 365–370
    12. Köhler, J. ; Wabersich, K. ; Berberich, J. ; Zeilinger, Melanie N.: State space models vs. multi-step predictors in predictive control: are state space models complicating safe data-driven designs? In: Proc. 61st IEEE Conf. Decision and Control (CDC). Cancun, Mexico, 2022, S. 491–498
    13. Müller, D. ; Feilhauer, J. ; Wickert, J. ; Berberich, J. ; Allgöwer, F. ; Sawodny, O.: Data-driven predictive disturbance observer for quasi continuum manipulators. In: Proc. 61st IEEE Conf. Decision and Control (CDC). Cancun, Mexico, 2022, S. 1816–1822
    14. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Stability in data-driven MPC: an inherent robustness perspective. In: Proc. 61st IEEE Conf. Decision and Control (CDC). Cancun, Mexico, 2022, S. 1105–1110
    15. Pauli, P. ; Gramlich, D. ; Berberich, J. ; Allgöwer, F.: Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. In: Proc. 60th IEEE Conf. on Decision and Control (CDC). Austin, TX, USA, 2021, S. 3611–3618
    16. Pauli, P. ; Köhler, J. ; Berberich, J. ; Koch, A. ; Allgöwer, F.: Offset-free setpoint tracking using neural network controllers. In: Proc. 3rd Conf. on Learning for Dynamics and Control (L4DC). Zurich, Switzerland, 2021, S. 992–1003
    17. Berberich, J. ; Wildhagen, S. ; Hertneck, M. ; Allgöwer, F.: Data-driven analysis and control of continuous-time systems under aperiodic sampling. In: Proc. 19th IFAC Symp. System Identification (SYSID). Padova, Italy, 2021, S. 210–215
    18. Wieler, Nils ; Berberich, Julian ; Koch, Anne ; Allgöwer, Frank: Data-Driven Controller Design via Finite-Horizon Dissipativity. In: Proceedings of the 3rd Conference on Learning for Dynamics and Control, Proceedings of Machine Learning Research. Bd. 144 : PMLR, 2021, S. 287–298
    19. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: On the design of terminal ingredients for data-driven MPC. In: Proc. 7th IFAC Conf. Nonlinear Model Predictive Control (NMPC). Bratislava, Slovakia, 2021, S. 257–263
    20. Alsalti, M. ; Berberich, J. ; Lopez, V. G. ; Allgöwer, F. ; Müller, M. A.: Data-Based System Analysis and Control of Flat Nonlinear Systems. In: Proc. 60th IEEE Conf. Decision and Control (CDC). Austin, TX, USA, 2021, S. 1484–1489
    21. Wildhagen, S. ; Berberich, J. ; Hirche, M. ; Allgöwer, F.: Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis. In: Proc. 60th IEEE Conf. on Decision and Control (CDC). Austin, TX, USA, 2021, S. 5788–5794
    22. Strässer, R. ; Berberich, J. ; Allgöwer, F.: Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics. In: Proc. 60th IEEE Conf. Decision and Control (CDC). Austin, TX, USA, 2021, S. 4344–4351
    23. Venkatasubramanian, Janani ; Köhler, Johannes ; Berberich, Julian ; Allgöwer, Frank: Robust dual control based on gain scheduling. In: 2020 59th IEEE Conference on Decision and Control (CDC) : IEEE, 2021, S. 2270–2277
    24. Berberich, J. ; Koch, A. ; Scherer, C. W. ; Allgöwer, F.: Robust data-driven state-feedback design. In: Proc. American Control Conf. (ACC). Denver, CO, USA, 2020, S. 1532–1538
    25. Venkatasubramanian, J ; Köhler, J. ; Berberich, J. ; Allgöwer, F.: Robust dual control based on gain scheduling. In: Proc. 59th IEEE Conf. Decision and Control (CDC). Jeju, South Korea, 2020, S. 2270–2277
    26. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Robust constraint satisfaction in data-driven MPC. In: Proc. 59th IEEE Conf. Decision and Control (CDC). Jeju, South Korea, 2020, S. 1260–1267
    27. Koch, A. ; Berberich, J. ; Allgöwer, F.: Verifying dissipativity properties from noise-corrupted input-state data. In: Proc. 59th IEEE Conf. on Decision and Control (CDC). Jeju, South Korea, 2020, S. 616–621
    28. Berberich, J. ; Allgöwer, F.: A trajectory-based framework for data-driven system analysis and control. In: Proc. European Control Conf. (ECC). Saint Petersburg, Russia, 2020, S. 1365–1370
    29. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Data-driven tracking MPC for changing setpoints. In: Proc. 21st IFAC World Congress. Berlin, Germany, 2020, S. 971–976
    30. Berberich, J. ; Sznaier, M. ; Allgöwer, F.: Signal estimation and system identification with nonlinear dynamic sensors. In: 3rd IEEE Conf. Control Technology and Applications (CCTA). Hong Kong, China, 2019, S. 505–510

Summer term
Model Predictive Control
Nonlinear control

Winter term
Data-driven control
Quantum Computing for Engineers

Since 04/2026 Emmy Noether Group Leader at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.
Since 12/2025 Senior Lecturer (Akademischer Oberrat) at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.

06/2022-11/2025

 Lecturer (akademischer Rat) at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.
02/2022-05/2022

Visiting researcher at the Automatic Control Laboratory, ETH Zürich, Switzerland.
03/2018-05/2022

Research and teaching assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.

  • PhD Thesis:
    "Stability and robustness in data-driven predictive control"
01/2017−06/2017 Exchange studies at the KTH Stockholm, Sweden.
06/2016-02/2018 Student assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.
10/2015-02/2018

Studies in Engineering Cybernetics (M.Sc.) at the University of Stuttgart, Germany.

  • Master Thesis:
    "Indefinite linear quadratic optimal control: Periodic dissipativity and turnpike properties"
10/2012-09/2015

Cooperative studies in Electrical Engineering (B.Eng.) at the DHBW Mannheim, Germany, in cooperation with WITTENSTEIN SE, Igersheim, Germany.

         

2026    Acceptance to the Emmy Noether Programme by the German Research Foundation (DFG)

2025    IEEE Control Systems Magazine Outstanding Paper Award

2025    Best Paper Award at the IEEE International Conference on Quantum Control, Computing, and Learning

2024    Bürkert Universitätspreis (PhD thesis award) awarded by the foundation of the University of Stuttgart

2023    Dr.-Klaus-Körper-Prize (PhD thesis award) awarded by the International Association of Applied Mathematics and Mechanics (GAMM)

2022    IEEE CSS George S. Axelby Outstanding Paper Award (IEEE Transactions on Automatic Control)

2022    GAMM Junior

2020    Publication Prize of the University of Stuttgart (Faculty 7)

2020    Outstanding Student Paper Award at the IEEE Conference on Decision and Control

2019    Publication Prize of the University of Stuttgart (Faculty 7)

2018    Best graduation in M.Sc. Engineering Cybernetics awarded by Kyb-Alumni e.V.

2015    Very good graduation in B.Eng. Electrical Engineering awarded by VDE

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