Pérez-Guirao, M. D., Lübben, R. ., & Kaiser, T. . (2009). Autonomous Optimization of UWB Link Access. Frequenz, 63, 196–199. http://doi.org/10.1515/FREQ.2009.63.9-10.196 (Original work published 2024)
Schlipf, D. ., Trujillo, J. J., Basterra, V. ., & Kühn, M. . (2009). Development of a wind turbine LiDAR simulator. In European Wind Energy Conference. Marseille, France. http://doi.org/10.18419/opus-3914 (Original work published 2024)
Lübben, R. ., Li, G. ., Wang, D. ., Doverspike, R. ., & Fu, X. . (2009). Fast Rerouting for IP Multicast in Managed IPTV Networks. In IEEE IWQoS. http://doi.org/10.1109/IWQoS.2009.5201406 (Original work published 2024)
Geisler, J. ., & Trächtler, A. . (2009). Control of the Pareto Optimality of Systems with Unknown Disturbances. In Proceedings of the 7th International Conference on Control and Automation (ICCA09). Christchurch, New Zealand. http://doi.org/10.1109/ICCA.2009.5410424 (Original work published Dezember 2009)
Abstract
In this paper we treat the classical linear-quadratic regulator (LQR) design as an online multi-objective optimization problem where the compromise between the multiple objective functions is not resolved until run-time. For this purpose the unknown Pareto front is locally approximated by the gradient of the objective functions. Then, using a superordinated control loop, the Pareto optimality is adjusted to an arbitrary point on the Pareto front. This makes it possible to react to unknown or slowly varying stochastic disturbances or changing optimality requirements. Also, the control engineer is no longer concerned with determining suitable weighting matrices as in the classical LQR design. Instead, a compromise between the contradicting objectives is sought by means of physically or economically interpretable rules. It is shown that the gradients of the objective functions that depend on the currently effective disturbances can be computed from the system state through fictitious outputs. This allows a very efficient implementation of the proposed regulator scheme without knowledge of the disturbances.
Sondermann-Wölke, C. ., Geisler, J. ., Hirsch, M. ., & Hemsel, T. . (2009). Verlässlichkeit im aktiven selbstoptimierenden Spurführungsmodul eines schienengebundenen Fahrzeugs. In J. . Gausemeier, F. J. Rammig, W. . Schäfer, & A. . Trächtler (Hrsg.), Entwurf mechatronischer Systeme (Bd. 250). Paderborn: HNI-Verlagsschriftenreihe. (Original work published April 2009)
Baca, D. ., Petersen, K. ., Carlsson, B. ., & Lundberg, L. . (2009). Static code analysis to detect software security vulnerabilities-does experience matter?. In 2009 International Conference on Availability, Reliability and Security (S. 804–810).
Nagel, K. ., Schneemann, I. ., Wiese, J. ., Kajahn, I. ., Labes, A. ., & Imhoff, J. F. (2009). Ecological impact of biologically active metabolites produced by Laminaria Saccharina associated Pseudomonas Sp. Strains. 6th European Conference on Marine Natural Products. Abgerufen von http://oceanrep.geomar.de/5526/
Brandenburg, M. ., & Tölle, F.-J. . (2009). MILP-based campaign scheduling in a specialty chemicals plant: a case study. In Supply Chain Planning. Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-540-93775-3_12
Abstract
Supply chain management in chemical process industry focuses onproduction planning and scheduling to reduce production cost and inventories andsimultaneously increase the utilization of production capacities and the service level.These objectives and the specific characteristics of chemical production processesresult in complex planning problems. To handle this complexity, advanced planningsystems (APS) are implemented and often enhanced by tailor-made optimization algo-rithms. In this article, we focus on a real-world problem of production planning arisingfrom a specialty chemicals plant. Formulations for finished products comprise severalproduction and refinement processes which result in all types of material flows. Mostprocesses cannot be operated on only one multi-purpose facility, but on a choice ofdifferent facilities. Due to sequence dependencies, several batches of identical pro-cesses are grouped together to form production campaigns. We describe a methodfor multicriteria optimization of short- and mid-term production campaign schedulingwhich is based on a time-continuous MILP formulation. In a preparatory step, deter-ministic algorithms calculate the structures of the formulations and solve the bills ofmaterial for each primary demand. The facility selection for each production campaignis done in a first MILP step. Optimized campaign scheduling is performed in a secondstep, which again is based on MILP. We show how this method can be successfullyadapted to compute optimized schedules even for problem instances of real-worldsize, and we furthermore outline implementation issues including integration with anAPS.
Born, V. ., Beck, M. ., Bosholm, O. ., Dalleau, D. ., Glenz, S. ., Haverkamp, I. ., … Vest, A. . (2009). Extended metallization reliability testing: Combining standard wafer level with product tests to increase test sensitivity. Microelectronics Reliability, 49. http://doi.org/https://doi.org/10.1016/j.microrel.2008.10.017
Petersen, K. ., Wohlin, C. ., & Baca, D. . (2009). The waterfall model in large-scale development. In International Conference on Product-Focused Software Process Improvement (S. 386–400).