This image showsNicolas Chatzikiriakos

Nicolas Chatzikiriakos

M.Sc.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 67745
 +49 711 685 67735
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Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.244

Office Hours

On appointment

Subject

Group Member of Trustworthy Autonomy for Smart Adaptive Systems with Prof. Dr. Andrea Iannelli.

Research focus:

  • Finite sample system identification
  • Data-driven control with end-to-end guarantees 
  • Active learning for dynamical systems

  1. Journal Articles

    1. Chatzikiriakos, N., Strässer, R., Allgöwer, F., Iannelli, A.: End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. Automatica. 187, 112908 (2026). https://doi.org/https://doi.org/10.1016/j.automatica.2026.112908.
    2. Chatzikiriakos, N., Jamieson, K., Iannelli, A.: High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems. arXiv preprint arXiv:2509.11907. (2025).
    3. Chatzikiriakos, N., Iannelli, A.: Sample Complexity Bounds for Linear System Identification from a Finite Set. IEEE Control Systems Letters. 8, 2751–2756 (2024). https://doi.org/10.1109/LCSYS.2024.3514995.

  2. Conference Papers

    1. Chatzikiriakos, N., Song, B., Rank, P., Iannelli, A.: Hidden convexity in active learning: A convexified online input design for ARX systems. In: 2025 IEEE 64th Conference on Decision and Control (CDC). pp. 63–68. , Rio de Janeiro, Brasil (2025). https://doi.org/10.1109/CDC57313.2025.11312601.
    2. Chatzikiriakos, N., Wabersich, K.P., Berkel, F., Pauli, P., Iannelli, A.: Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. In: Abate, A., Cannon, M., Margellos, K., and Papachristodoulou, A. (eds.) Proceedings of the 6th Annual Learning for Dynamics & Control Conference. pp. 387–398. PMLR (2024).

  3. Preprints

    1. Brändle, F., Chatzikiriakos, N., Iannelli, A., Allgöwer, F.: Beyond Bounded Noise: Stochastic Set-Membership Estimation for Nonlinear Systems, https://arxiv.org/abs/2604.00561, (2025).
WS2025/2026 Einführung in die Regelungstechnik
WS2024/2025 Praktikum: Konzepte der Regelungstechnik
SS2024 Praktikum: Einführung in die Regelungstechnik
WS2023/2024 Praktikum: Konzepte der Regelungstechnik
SS2023 Praktikum: Einführung in die Regelungstechnik
03/2025 - 07/2025

Research stay with Kevin Jamieson at the University of Washington.
10/2022 - 04/2023

Master Thesis at Robert Bosch GmbH at Renningen

  • Title: Safe approximation of model predictive controllers using neural networks
04/2021 - 04/2023

Master studies Engineering Cybernetics at the University of Stuttgart
10/2021 - 03/2022

Internship at Robert Bosch GmbH at Renningen
10/2017 - 03/2021

Bachelor studies Engineering Cybernetics at the University of Stuttgart
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