6 Publications

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[6]
2025 | Journal Article | LibreCat-ID: 59740
Hesse, Michael, et al. “Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart.” PAMM, vol. 25, no. 2, Wiley, 2025, doi:10.1002/pamm.70004.
LibreCat | DOI
 
[5]
2025 | Book | LibreCat-ID: 61118
Timmermann, Julia, et al. DART - Datengetriebene Methoden in der Regelungstechnik. 1. Auflage, vol. Band 430, HNI Verlagsschriftenreihe, 2025, doi:10.17619/UNIPB/1-2305.
LibreCat | DOI
 
[4]
2024 | Dissertation | LibreCat-ID: 58448 | OA
Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Heinz Nixdorf Institut, 2024, doi:10.17619/UNIPB/1-2135.
LibreCat | DOI | Download (ext.)
 
[3]
2023 | Conference Paper | LibreCat-ID: 48476
Hesse, Michael, et al. “Hybrid Optimal Control for Dynamical Systems Using Gaussian Process Regression and Unscented Transform*.” 2023 European Control Conference (ECC), IEEE, 2023, doi:10.23919/ecc57647.2023.10178368.
LibreCat | DOI
 
[2]
2022 | Conference Paper | LibreCat-ID: 29803
Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94.
LibreCat
 
[1]
2018 | Journal Article | LibreCat-ID: 22996
Hesse, Michael, et al. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Procedia Manufacturing, vol. 24, 2018, pp. 15–20.
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6 Publications

Mark all

[6]
2025 | Journal Article | LibreCat-ID: 59740
Hesse, Michael, et al. “Robust and Efficient Hybrid Optimal Control via Gaussian Process Regression and Multiple Shooting With Experimental Validation on a Double Pendulum on a Cart.” PAMM, vol. 25, no. 2, Wiley, 2025, doi:10.1002/pamm.70004.
LibreCat | DOI
 
[5]
2025 | Book | LibreCat-ID: 61118
Timmermann, Julia, et al. DART - Datengetriebene Methoden in der Regelungstechnik. 1. Auflage, vol. Band 430, HNI Verlagsschriftenreihe, 2025, doi:10.17619/UNIPB/1-2305.
LibreCat | DOI
 
[4]
2024 | Dissertation | LibreCat-ID: 58448 | OA
Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Heinz Nixdorf Institut, 2024, doi:10.17619/UNIPB/1-2135.
LibreCat | DOI | Download (ext.)
 
[3]
2023 | Conference Paper | LibreCat-ID: 48476
Hesse, Michael, et al. “Hybrid Optimal Control for Dynamical Systems Using Gaussian Process Regression and Unscented Transform*.” 2023 European Control Conference (ECC), IEEE, 2023, doi:10.23919/ecc57647.2023.10178368.
LibreCat | DOI
 
[2]
2022 | Conference Paper | LibreCat-ID: 29803
Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94.
LibreCat
 
[1]
2018 | Journal Article | LibreCat-ID: 22996
Hesse, Michael, et al. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Procedia Manufacturing, vol. 24, 2018, pp. 15–20.
LibreCat
 

Search

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Citation Style: MLA

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