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Publikationen von Wiebke Bergmann

Buchkapitel (3)

  1. W. Heins, P. Ballesteros, X. Shu, C. Bohn.
    LPV gain-scheduled observer-based state feedback for active control of harmonic disturbances with time-varying frequencies.
    Advances on Analysis and Control of Vibrations – Theory and Applications, M. Zapateiro, F. Pozo (Hrsg.), S. 35-64, InTech, 2012.
  2. P. Ballesteros, X. Shu, W. Heins, C. Bohn.
    LPV gain-scheduling output feedback for active control of harmonic disturbances with time-varying frequencies.
    Advances on Analysis and Control of Vibrations – Theory and Applications, M. Zapateiro, F. Pozo (Hrsg.), S. 65-86, InTech, 2012.
  3. W. Heins, T. Dewenter, B. Werther, A. Hartmann, C. Bohn, H. Beck.
    Work package 5.1: System theory for microgrids.
    Smart Nord - Final Report., L. Hofmann, M. Sonnenschein (Hrsg.), S. 201-211, Druckerei Hartmann GmbH.

Zeitschriftenartikel (4)

  1. M. Lachmann, J. Maldonado, W. Bergmann, F. Jung, M. Weber, C. Büskens.
    Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System.
    Energies, 13(8), 2084, 2020.

    DOI: 10.3390/en13082084

  2. T. Dewenter, W. Heins, B. Werther, A. Hartmann, C. Bohn, H. Beck.
    Parameter Optimization of a Virtual Synchronous Machine in a Microgrid.
    International Journal of Power and Energy Systems, 36(4):129-137, 2016.

    online unter: http://www.actapress.com/PDFViewer.aspx?paperId=45446

  3. G. Rietveld, J. Braun, R. Martin, P. S. Wright, W. Heins, N. Ell, N. Zisky.
    Measurement infrastructure to support the reliable operation of smart electrical grids.
    IEEE Transactions in Instrumentation and Measurement, 64:1355-1365, 2015.
  4. W. Heins, P. Ballesteros, C. Bohn.
    Gain-scheduled state-feedback control for active cancellation of multisine disturbances with time-varying frequencies.
    Mechanics and Control, 30:127-136, 2011.

Tagungsbeiträge (8)

  1. M. Wiesner, K. Schäfer, W. Bergmann, A. Berger, P. Shulpyakov, C. Dittert, C. Büskens.
    Analyzing the Influence of Measurements in Dynamical Parameter Identification Using Parametric Sensitivities.
    Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.

    DOI: 10.1016/j.ifacol.2021.10.320

  2. M. Höffmann, S. Roy, A. Berger, W. Bergmann, K. W. Chan, M. Shubbak, J. Langhorst, T. Schnauder, C. Büskens.
    Wind Affected Maneuverability of Tugboat-Controlled Ships.
    13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, 22.09.-24.09.2021.
    Proceedings of the 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, 54(16):70-75, 2021.

    DOI: 10.1016/j.ifacol.2021.10.075
    online unter: https://www.sciencedirect.com/science/article/pii/S2405896321014774

  3. W. Heins, C. Büskens.
    Two-Level Forecast-Based Energy and Load Management for Grid-Connected Local Systems Using General Load and Storage Models.
    18th International Conference on Environment and Electrical Engineering (EEEIC), 12.06-15.06.2018, Palermo, Italien.
  4. W. Heins, P. Ballesteros, C. Bohn.
    Experimental evaluation of an LPV-gain-scheduled observer for rejecting multisine disturbances with time-varying frequencies.
    2013 European Control Conference.
    Proceedings of the 2013 European Control Conference, S. 769-774.
  5. P. Ballesteros, X. Shu, W. Heins, C. Bohn.
    Reduced-order two-parameter pLPV controller for the rejection of nonstationary harmonically related multisine disturbances.
    2013 American Control Conference, Juni 2013, Washington, D.C., United States.
  6. W. Heins, N. Ell, H. Beck, C. Bohn.
    State observation in medium-voltage grids with incomplete measurement infrastructure through online correction of power forecasts.
    13th European Control Conference, Juni 2014, Straßburg, Frankreich.
    Proceedings of the 13th European Control Conference, S. 1306-1312.
  7. W. Heins, G. Gewiß, C. Bohn.
    State-space formulation of the nodal load observer for smart electrical grids with imperfect measurement infrastructure.
    XX IMEKO World Congress, September 2012, Busan, Republik Korea.
    Proceedings of the XX IMEKO World Congress.
  8. X. Shu, W. Heins, P. Ballesteros, C. Bohn.
    Two-parameter pLPV modeling of nonstationary harmonically related multisine disturbances for reduced-order gain-scheduling control.
    32nd IAESTED International Conference on Modelling, Identification and Control, Februar 2013, Innsbruck, Österreich.

Sonstiges (7)

  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.
  3. F. Jung, M. Lachmann, W. Heins, D. Weigel, J. Maldonado, G. Meyer, N. Koop, N. Steenhusen, J. N. Hasse, M. Echim, C. Büskens, K. Schill, R. Frase.
    SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
    Zwischenbericht, 02/ 2017, Bremen, Universität Bremen, Februar 2018.
  4. F. Jung, M. Lachmann, W. Heins, J. Maldonado, G. Meyer, N. Koop, N. Steenhusen, J. N. Hasse, M. Echim, C. Büskens, K. Schill, R. Frase.
    SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
    Zwischenbericht, 01/ 2018, Bremen, Universität Bremen, August 2018.
  5. F. Jung, M. Lachmann, W. Heins, D. Weigel, J. Maldonado, G. Meyer, C. Fiege, N. Koop, N. Steenhusen, J. N. Hasse, M. Echim, C. Büskens, K. Schill, R. Frase.
    SmartFarm: Datenbasiert zum optimierten Eigenverbrauch.
    Zwischenbericht, 01/ 2017, Bremen, Universität Bremen, Juli 2017.
  6. 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.
  7. 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.