This image shows Julian Berberich

Julian Berberich

Dr.-Ing.

Lecturer (Akademischer Rat)
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 67747
 +49 711 685 67735

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 2.235

Office Hours

Wednesday 1pm to 2pm in my office

During the semester break by appointment

Subject

My research explores concepts and methods of systems and control theory in quantum computing, studying theoretical properties of quantum computing elements and finding practical methods for improving their 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. Further, I develop efficient and robust methods for estimation and control tasks which arise in real-world quantum hardware implementations.
 

Google Scholar profile

  1. Journal Articles

    1. 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
    2. 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, Preprint: arxiv:2509.02839 (2025)
    3. 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
    4. 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
    5. 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
    6. Strässer, Robin ; Schaller, Manuel ; Worthmann, Karl ; Berberich, Julian ; Allgöwer, Frank: SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems. In: Automatica, Preprint: arxiv:2402.03145 (2025)
    7. Berberich, J. ; Fink, D. ; Holm, C.: Robustness of quantum algorithms against coherent control errors. In: Physical Review A Bd. 109 (2024), S. 12417
    8. Funcke, Niklas ; Berberich, Julian: Robustness of optimal quantum annealing protocols. In: New Journal of Physics Bd. 26, IOP Publishing (2024), S. 93040
    9. 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
    10. 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
    11. 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
    12. 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
    13. Berberich, J. ; Fink, D.: Quantum computing through the lens of control: A tutorial introduction. In: IEEE Control Systems Bd. 44 (2024), S. 24–49
    14. 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
    15. 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
    16. 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
    17. 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
    18. 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
    19. Xie, Yifan ; Berberich, Julian ; Allgöwer, Frank: Linear Data-Driven Economic MPC with Generalized Terminal Constraint. In: IFAC World Congress (2023)
    20. 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
    21. 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
    22. 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
    23. 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)
    24. 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
    25. 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
    26. 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
    27. 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
    28. Koch, Anne ; Berberich, Julian ; Köhler, Johannes ; Allgöwer, Frank: Determining optimal input–output properties: A data-driven approach. In: Automatica Bd. 134 (2021), S. 109906
    29. 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
    30. 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
    31. 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
    32. 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
    33. 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
    34. 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
    35. 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. Conference Contributions

    1. Yifan Xie, Julian Berberich, Frank Allgöwer: Data-Driven Min-Max MPC for Linear Systems. In: , 2024, S. 3184–3189

  3. Conference Papers

    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. 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
    22. 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
    23. 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
    24. 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
    25. 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
    26. 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
    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 06/2022 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.

         

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