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Publikationen der AG Optimierung und Optimale Steuerung

Monografien (1)

  1. A. Folkers.
    Steuerung eines autonomen Fahrzeugs durch Deep Reinforcement Learning.
    BestMasters, 75 Seiten, Springer Verlag, 2019.

    DOI: 10.1007/978-3-658-28886-0

Zeitschriftenartikel (11)

  1. M. Shubbak.
    Advances in solar photovoltaics: Technology review and patent trends.
    Renewable and Sustainable Energy Reviews, 115, 109383, Elsevier, 2019.

    DOI: 10.1016/j.rser.2019.109383
    online unter: https://www.sciencedirect.com/science/article/pii/S136403211930591X}, author = {Mahmood H. Shubbak

  2. S. Kraft, M. Moser, C. Büskens, M. Echim.
    Echtzeitfähige Verbrennungssimulation eines Dual-Fuel-Motors für HiL-Anwendung.
    MTZ - Motortechnische Zeitschrift, 11, Springer Verlag, 2019.

    DOI: 10.1007/s35146-019-0115-1

  3. R. Kuhlmann.
    Learning to Steer Nonlinear Interior-Point Methods.
    EURO Journal on Computational Optimization, 7(4):381-419, 2019.

    DOI: 10.1007/s13675-019-00118-4

  4. A. Janz, J. Schramm, M. Echim, F. Schrödel, C. Büskens.
    Model Based Path Optimization for Valet Parking with Trailer.
    IFAC-PapersOnLine, 52(5):85-90, Elsevier, 2019.

    DOI: https://doi.org/10.1016/j.ifacol.2019.09.014

  5. J. Gehrt, R. Zweigel, S. Roy, C. Büskens, M. Kurowski, T. Jeinsch, A. Schubert, M. Gluch, O. Simanski, E. Pairet-Garcia, W. Bruhn, F. Diegel, D. Abel.
    Optimal Maneuvering and Control of Cooperative Vessels within Harbors.
    Journal of Physics, Conference Series, 1357(12019), 2019.

    DOI: 10.1088/1742-6596/1357/1/012019

  6. I. Dominguez Lacasa, B. Jindra, S. Radosevic, M. Shubbak.
    Paths of technology upgrading in the BRICS economies.
    Research Policy, 48(1):262-280, 2019.

    DOI: 10.1016/j.respol.2018.08.016
    online unter: https://www.sciencedirect.com/science/article/pii/S0048733318302038

  7. S. Kraft, M. Moser, C. Büskens, M. Echim.
    Real‑time capable combustion simulation of a dual‑fuel engine for hardware‑in‑the‑loop application.
    Heavy-Duty-, On- und Off-Highway-Motoren, :191-206, Springer Verlag, 2019.

    DOI: 10.1007/978-3-658-25889-4_12

  8. K. Flaßkamp, S. Ober-Blöbaum, K. Worthmann.
    Symmetry and Motion Primitives in Model Predictive Control.
    Mathematics of Control, Signals and Systems, :1-31, Springer Verlag, 2019.

    DOI: 10.1007/s00498-019-00246-7

  9. M. Shubbak.
    The technological system of production and innovation: The case of photovoltaic technology.
    Research Policy, 48(4):993-1015, Elsevier, 2019.

    DOI: 10.1016/j.respol.2018.10.003
    online unter: https://www.sciencedirect.com/science/article/pii/S004873331830235X

  10. K. Flaßkamp, K. Worthmann, J. Mühlenhoff, C. Greiner-Petter, C. Büskens, J. Oertel, D. Keiner, T. Sattel.
    Towards Optimal Control of Concentric Tube Robots in Stereotactic Neurosurgery.
    Mathematical and Computer Modelling of Dynamical Systems, :560-574, 2019.

    DOI: 10.1080/13873954.2019.1690004

  11. T. Faulwasser, K. Flaßkamp, S. Ober-Blöbaum, K. Worthmann.
    Towards Velocity Turnpikes in Optimal Control of Mechanical Systems.
    IFAC-PapersOnLine, 52(16), 11th IFAC Symposium on Nonlinear Control Systems, Vienna, Austria, 2019.

    DOI: 10.1016/j.ifacol.2019.12.009

Tagungsbeiträge (7)

  1. K. Schäfer, K. Flaßkamp, J. Fliege, C. Büskens.
    A Combined Homotopy-Optimization Approach to Parameter Identification for Dynamical Systems.
    GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 18.02-22.02.2019, Wien, Österreich.
    90, Proc. Appl. Math. Mech., 19, Wiley, 2019.

    DOI: 10.1002/pamm.201900266

  2. M. Rick, J. Clemens, L. Sommer, A. Folkers, K. Schill, C. Büskens.
    Autonomous Driving Based on Nonlinear Model Predictive Control and Multi-Sensor Fusion.
    10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2019), 03.07.-05.07.2019.

    DOI: 10.1016/j.ifacol.2019.08.068

  3. A. Folkers, M. Rick, C. Büskens.
    Controlling an Autonomous Vehicle with Deep Reinforcement Learning.
    Intelligent Vehicles Symposium, 09.06.-12.06.2019, Paris, Frankreich.
    Proceedings of the 30th IEEE Intelligent Vehicles Symposium, S. 2025-2031, 2019.

    Best Student Paper

    DOI: 10.1109/ivs.2019.8814124

  4. C. Meerpohl, M. Rick, C. Büskens.
    Free-space Polygon Creation based on Occupancy Grid Maps for Trajectory Optimization Methods.
    10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2019), 03.07.-05.07.2019.

    DOI: 10.1016/j.ifacol.2019.08.107

  5. M. Kurowski, S. Roy, J. Gehrt, R. Damerius, C. Büskens, D. Abel, T. Jeinsch.
    Multi-Vehicle Guidance, Navigation and Control Towards Autonomous Ship Maneuvering in Confined Waters.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, S. 2559-2564, 2019.

    DOI: 10.23919/ECC.2019.8795726

  6. R. Zweigel, J. Gehrt, S. Liu, S. Roy, C. Büskens, M. Kurowski, T. Jeinsch, A. Schubert, M. Gluch, O. Simanski, E. Pairet-Garcia, F. Siemer, D. Abel.
    Optimal Maneuvering and Control of Cooperative Vehicles as Case Study for Maritime Applications within Harbors.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, S. 3022-3027, 2019.

    DOI: 10.23919/ECC.2019.8796071

  7. A. Berger, M. Knauer, C. Büskens.
    Using Parametric Sensitivity Analysis to Determine Pareto Fronts in Multi-Objective Programming.
    30th European Conference On Operational Research (EURO 2019), 23.06.-26.06.2019.

Buchkapitel (3)

  1. S. Bartsch, A. Kolesnikov, M. Echim, C. Büskens.
    Modular Underwater Manipulators for Autonomous Underwater Intervention.
    AI Technology for Underwater Robots, F. Kirchner, S. Straube, D. Kühn, N. Hoyer (Hrsg.), Intelligent Systems, Control and Automation: Science and Engineering, S. 95-103, Springer Verlag, 2019.

    DOI: 10.1007/978-3-030-30683-0_8

  2. M. Knauer, C. Büskens.
    Real-Time Optimal Control Using TransWORHP and WORHP Zen.
    Modeling and Optimization in Space Engineering, G. Fasano, J. D. Pintér (Hrsg.), Springer Optimization and Its Applications, vol 144, S. 211-232, Springer Verlag, 2019.

    DOI: 10.1007/978-3-030-10501-3_9

  3. I. Dominguez Lacasa, M. Shubbak.
    Technological capabilities in China: Patterns of specialization towards a knowledge intensive economy.
    China's Quest for Innovation: Institutions and Ecosystems, S. Dai, M. Taube (Hrsg.), S. 16, Routledge, London, 2019.

    DOI: 10.4324/9781351019743-5

Sonstiges (2)

  1. F. Jung, M. Lachmann, W. Bergmann, J. Maldonado, G. Meyer, N. Koop, N. Steenhusen, M. Echim, C. Büskens, K. Schill, R. Frase.
    SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
    Projektbericht, Abschlussbericht, Bremen, Universität Bremen, Juni 2019.
  2. F. Jung, M. Lachmann, W. Bergmann, J. Maldonado, G. Meyer, N. Koop, N. Steenhusen, M. Echim, C. Büskens, K. Schill, R. Frase.
    SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
    Zwischenbericht, 02/ 2018, Bremen, Universität Bremen, Januar 2019.