Florian Diepers, M.Eng.
Veröffentlichungen / Publications
- Diepers, F.; Ahle, E.; Söffker, D.: Investigation of the Influence of Training Data and Methods on the Control Performance of MPC Utilizing Gaussian Processes. Lecture Notes in Control and Information Sciences - Proceedings, Stuttgart, Germany, 2024, accepted.
- Polke, D.; Surjana, A.; Diepers, F.; Ahle, E.; Söffker, D.: Development of a Modular Automation Framework for Data-Driven Modeling and Optimization of Coating Formulations. 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Sinaia, Romania, 01. Aug, 2023, pp. 1-8.
, [Link]- Diepers, F.; Polke, D.; Ahle, E.; Söffker, D.: Comparison of Different Gaussian Process Models and Applications in Model Predictive Control. 23rd IEEE International Conference on Control, Automation and Systems (ICCAS), Yeosu, South Korea, 2023, pp. 54-59.
, [Link]- Diepers, F.; Polke, D.; Ahle, E.; Söffker, D.: Data-Driven Force Control of an Automated Scratch Test. 10th International Conference on Control, Mechatronics and Automation (ICCMA), Belval, Luxembourg, 2022, pp. 94-99.
, [PDF], [Link]- Polke, D.; Diepers, F.; Ahle, E.; Söffker, D.: Development of a Framework for Data-Driven Modeling with Cloud Services in the Process Industry. IEEE International Conference on Automation, Robotics and Computer Engineering, Wuhan, China, 2022, pp. 109-115.
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