Publikationen der AG Optimierung und Optimale Steuerung

Zeitschriftenartikel (7)

1. M. Schweinoch, R. Schäfer, A. Sacharow, D. Biermann, C. Buchheim.
   A non-rigid registration method for the efficient analysis of shape deviations in production engineering applications.
   Production Engineering - Research and Development, 10(2):137-146, 2016.

   DOI: 10.1007/s11740-016-0660-0

2. S. Geffken, C. Büskens.
   Feasibility refinement in sequential quadratic programming using parametric sensitivity analysis.
   Optimization Methods and Software, , Taylor & Francis, 2016.

   DOI: 10.1080/10556788.2016.1200045

3. S. Chen, D. Wassel, C. Büskens.
   High-Precision Modeling, Simulation and Optimization of Cogeneration Plants.
   Energy Technology, Special Issue: Energy, Science & Technology Conference, 4: 177-186, WILEY-VCH, 2016.

   DOI: 10.1002/ente.201500244

4. K. Flaßkamp, A. Ansari, T. Murphey.
   Hybrid control for tracking of invariant manifolds.
   Nonlinear Analysis: Hybrid Systems, , 2016.
5. F. Kohlmai, V. Baumbach, C. Büskens, M. Knauer.
   Optimal routing of pipes in a virtual environment using nonlinear programming.
   International Journal of Fluid Power, , 2016.

   DOI: 10.1080/14399776.2016.1155945

6. 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

7. K. Flaßkamp, J. Schultz, T. Murphey.
   Variational Integrators for Structure-Preserving Filtering.
   Journal of Computational and Nonlinear Dynamics, 12(2), 2016.

   DOI: 10.1115/1.4034728
   online unter: http://dx.doi.org/10.1115/1.4034728

Tagungsbeiträge (7)

1. M. Shubbak, S. Thorne.
   Development and Experimentation of a Software Tool for Identifying High Risk Spreadsheets for Auditing.
   16th EuSpRIG Conference: Spreadsheet Risk Management.
   

   DOI: https://arxiv.org/abs/1602.05231

2. G. De La Torre, K. Flaßkamp, A. Prabhakar, T. Murphey.
   Ergodic exploration with stochastic sensor dynamics.
   2016 American Control Conference (ACC), 2016, Boston, MA, USA.
   

   DOI: 10.1109/ACC.2016.7525371

3. A. Schattel, C. Büskens, M. Echim.
   Low Thrust Trajectory Optimization for Autonomous Asteroid Rendezvous Missions.
   6th International Conference on Astrodynamics Tools and Techniques (ICATT), 14.-17.03.2016, Darmstadt, Deutschland.
   
4. S. Geffken, C. Büskens.
   Parametric Sensitivity Analysis within Sequential Quadratic Programming - Post Optimality Analysis of Subproblems.
   5th International Conference on Continuous Optimization (ICCOPT), Tokyo, Japan, 06.08.2016 - 11.08.2016.
   
5. D. Seelbinder, C. Büskens.
   Real-Time Atmospheric Entry Trajectory Computation Using Parametric Sensitivities.
   6th International Conference on Astrodynamics Tools and Techniques (ICATT), 14.-17.03.2016, Darmstadt, Deutschland.
   Deutschland, 2016.
6. A. Schattel, M. Echim, C. Büskens.
   Trajectory Optimization for Autonomous Deep Space Missions.
   18th International Conference on Industrial and Applied Mathematics (ICIAM), Paris, France, 21.01.2016 - 22.01.2016.
   
7. S. Geffken, C. Büskens.
   Worhp Multi-Core Interface, Parallelisation Approaches for an NLP Solver.
   6th International Conference on Astrodynamics Tools and Techniques (ICATT), 14.-17.03.2016, Darmstadt, Deutschland.
   

Qualifikationsarbeiten (1)

1. H. Meyer.
   Echtzeitoptimierung für Ausweichtrajektorien mittels der Sensitivitätsanalyse eines parametergestörten nichtlinearen Optimierungsproblems.
   Dissertationsschrift, Universität Bremen, 2016.

   online unter: Elektronische Bibliothek der Universität Bremen

Sonstiges (2)

1. F. Kohlmai.
   Hercules 2 - Partner Periodic Report.
   Zwischenbericht, HORIZON 2020 - The EU Framework Programme for Research and Innovation, Universität Bremen, Oktober 2016.
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.