Publikationen von Dr. Margareta Runge

Tagungsbeiträge (5)

1. M. Höffmann, J. Clemens, D. Stronzek-Pfeifer, R. Simonelli, A. Serov, S. Schettino, M. Runge, K. Schill, C. Büskens.
   Coverage Path Planning and Precise Localization for Autonomous Lawn Mowers.
   IEEE 6th International Conference on Robotic Computing (IRC), 05.12.-07.12.2022.
   Proceedings of International Conference on Robotic Computing, S. 238-242, 2022.

   DOI: 10.1109/IRC55401.2022.00046
   online unter: https://ieeexplore.ieee.org/document/10023754

2. M. Runge, K. Flaßkamp, C. Büskens.
   Real-time parameter estimation for sensitivity-based LQ regulator adaptation .
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000292

3. M. Runge, K. Flaßkamp, C. Büskens.
   Model Predictive Control with Online Nonlinear Parameter Identification for a Robotic System.
   International Conference on Control, Decision and Information Technologies (CoDIT), 29.06.-02.07.2020, Prag, Tschechien.
   Proceedings of CoDIT, 1:312-318, 2020.

   DOI: 10.1109/CoDIT49905.2020.9263886

4. K. Schäfer, M. Runge, K. Flaßkamp, C. Büskens.
   Parameter Identification for Dynamical Systems Using Optimal Control Techniques.
   European Control Conference (ECC) 2018, 12.06.-15.06.2018, Limassol, Zypern.
   

   DOI: 10.23919/ECC.2018.8550045

5. M. Runge, K. Flaßkamp, C. Büskens.
   Sequential Solution of Parameter Identification and Optimal Control Problems for Robotic Systems.
   89th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM), 19.03.-23.03.2018, München, Deutschland.
   Proc. Appl. Math. Mech., 2018.

   DOI: 10.1002/pamm.201800099

Sonstiges (2)

1. F. Jung, M. Lachmann, W. Heins, D. Weigel, C. Zschippig, G. Meyer, J. Frels, C. Fiege, N. Koop, M. Runge, J. N. Hasse, M. Echim, C. Büskens, K. Schill, R. Frase.
   Verbundvorhaben: SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
   Zwischenbericht, 02/ 2016, Bremen, Universität Bremen, Januar 2017.
2. F. Jung, W. Heins, D. Weigel, C. Zschippig, G. Meyer, J. Frels, C. Fiege, N. Koop, M. Runge, M. Echim, C. Büskens, K. Schill, R. Frase.
   Verbundvorhaben: SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
   Zwischenbericht, 1. Halbjahr 2016, Bremen, Juli 2016.