This image shows Nicolas Chatzikiriakos

Nicolas Chatzikiriakos

M.Sc.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.244

Office Hours

On appointment

Subject

I'm working on uncertainty quantification for direct and indirect data-driven control.

  1. Journal Articles

    1. Chatzikiriakos, N., Song, B., Rank, P., Iannelli, A.: Hidden convexity in active learning: A convexified online input design for ARX systems. arXiv preprint arXiv:2509.03257. (2025).
    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., Strässer, R., Allgöwer, F., Iannelli, A.: End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data. submitted, Preprint: arXiv:2409.18010. (2024).
    4. 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., 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).
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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