Dieses Bild zeigt Michael Hertneck

Michael Hertneck

Herr M.Sc.

Wissenschaftlicher Mitarbeiter
Institut für Systemtheorie und Regelungstechnik

Kontakt

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 3.240

Sprechstunde

Nach Vereinbarung

Fachgebiet

Vernetzte Regelungssysteme (engl. Networked Control Systems)

  1. Konferenzbeiträge

    1. Hertneck, M., & Allgöwer, F. (2023). Reverse average dwell time constraints enable arbitrary maximum allowable transmission intervals. Proc. 12th IFAC Symp. Nonlinear Control Systems (NOLCOS), 379–384. https://doi.org/10.1016/j.ifacol.2023.02.064
    2. Hertneck, M., & Allgöwer, F. (2023). Self-triggered output feedback control for nonlinear networked control systems based on hybrid Lyapunov functions. Proc. 22nd IFAC World Congress, 5748–5753. https://doi.org/10.1016/j.ifacol.2023.10.165
    3. Hertneck, M., & Allgöwer, F. (2022). Dynamic self-triggered control for nonlinear systems with delays. Proc. 9th IFAC Conf. on Networked Systems (NECSYS), 312–317. https://doi.org/10.1016/j.ifacol.2022.07.278
    4. Hertneck, M., & Allgöwer, F. (2021). A Simple Approach to Increase the Maximum Allowable Transmission Interval. Proc. 3rd IFAC Conf. on Modelling, Identification and Control of Nonlinear Systems (MICNON), 443–448. https://doi.org/10.1016/j.ifacol.2021.10.390
    5. Berberich, J., Wildhagen, S., Hertneck, M., & Allgöwer, F. (2021). Data-driven analysis and control of continuous-time systems under aperiodic sampling. Proc. 19th IFAC Symp. System Identification (SYSID), 210–215. https://doi.org/10.1016/j.ifacol.2021.08.360
    6. Schlor, S., Hertneck, M., Wildhagen, S., & Allgöwer, F. (2021). Multi-party computation enables secure polynomial control based solely on secret-sharing. Proc. 60th IEEE Conf. Decision and Control (CDC), 4882–4887. https://doi.org/10.1109/CDC45484.2021.9683026
    7. Hertneck, M., & Allgöwer, F. (2021). Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions. Proc. 60th IEEE Conf. Decision and Control (CDC), 533–539. https://doi.org/10.1109/CDC45484.2021.9682784
    8. Hertneck, M., Linsenmayer, S., & Allgöwer, F. (2020). Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. Proc. European Control Conf. (ECC), 1814–1819. https://doi.org/10.1109/CDC40024.2019.9029770
    9. Hertneck, M., Linsenmayer, S., & Allgöwer, F. (2020). Stabilization of Nonlinear Weakly Hard Real-Time Control Systems. Proc. 21st IFAC World Congress, 2632–2637. https://doi.org/10.1016/j.ifacol.2020.12.307
    10. Hertneck, M., Linsenmayer, S., & Allgöwer, F. (2020). Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems. Proc. 21st IFAC World Congress, 2632–2637. https://doi.org/10.1016/j.ifacol.2020.12.307
    11. Hertneck, M., & Allgöwer, F. (2020). Exploiting Information for Decentralized Periodic Event-Triggered Control. Proc. 59th IEEE Conf. Decision and Control (CDC), 4999–5004. https://doi.org/10.1109/CDC42340.2020.9304456
    12. Hertneck, M., Linsenmayer, S., & Allgöwer, F. (2019). Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions. Proc. 58th IEEE Conf. Decision and Control (CDC), 1680–1685. https://doi.org/10.1109/CDC40024.2019.9029770
  2. (Zeitschriften-) Aufsätze

    1. Seidel, M., Hertneck, M., Yu, P., Linsenmayer, S., Dimarogonas, D. V., & Allgöwer, F. (2023). A Window-based Periodic Event-triggered Consensus Scheme for Multi-agent Systems. IEEE Transactions on Control of Network Systems (TCNS) (accepted).
    2. Hertneck, M., Linsenmayer, S., & Allgöwer, F. (2021). Efficient stability analysis approaches for nonlinear  weakly-hard real-time control systems. Automatica, 133, 109868. https://doi.org/10.1016/j.automatica.2021.109868
    3. Linsenmayer, S., Hertneck, M., & Allgöwer, F. (2021). Linear Weakly Hard Real-Time Control Systems: Time- and Event-Triggered Stabilization. IEEE Trans.\ Automat.\ Control, 66(4), Article 4. https://doi.org/10.1109/TAC.2020.3000981
    4. Hertneck, M., Köhler, J., Trimpe, S., & Allgöwer, F. (2018). Learning an approximate model predictive controller with guarantees. IEEE Control Systems Lett., 2(3), Article 3. https://doi.org/10.1109/LCSYS.2018.2843682

Praktikum ERT (SS 2019, SS2020, SS2021, SS2022)

Projektwettbewerb ERT (SS2020)

KRT Gruppenübung (WS 2020/2021, WS2021/2022, SS2022, WS2022/2023)

Proseminar Technische Kybernetik (SS2023)

KRT (WS2023/2024)

Seit 04/2019 Wissenschaftlicher Mitarbeiter am Institut für Systemtheorie und Regelungstechnik, Universität Stuttgart.
04/2018−09/2018 Praktikum bei der Robert Bosch GmbH, CR/AEE2, Renningen.
 10/2013−04/2019

Studium der Mechatonik an der Universität Stuttgart

  • Masterarbeit: 04/2019
    "Nonlinear Periodic Event-Triggered Control Based on Non-Monotonic Lyapunov Functions"
  • Studienarbeit: 03/2018
    "Learning an Approximate Model Predictive Controller with Guarantees"
  • Bachelorarbeit: 09/2016
    "Weiterentwicklung und Evaluation von Objekterkennungsverfahren
    auf Basis von Farb- und Tiefenblidern"
06/2013 Abitur am Lichtensterngymnasium, Sachsenheim
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