Jonathan Mädler
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Postdoc
NameMr Dr.-Ing. Jonathan Mädler
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Process Systems Engineering Group
Process Systems Engineering Group
Visiting address:
Merkelbau Helmholtzstraße 14
01069 Dresden
Postal address:
TUD Dresden University of Technology Arbeitsgruppe Systemverfahrenstechnik
01062 Dresden
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RESEARCH INTERESTS
- First-principles modeling
- Hybrid semi-parametric modeling / gray box modeling
- Model-based Design of Experiments
- Process control within modular plants
CURRICULUM VITAE
Seit 2017 | Doctoral Researcher, Chair of Process Control Systems and Process Systems Engineering, Prof. Urbas, TU Dresden |
2011-2017 | Study Program Renewable Energy Systems, TU Dresden |
2016-2017 | Student Assistant, Chair of Process Control Systems and Process Systems Engineering, Prof. Urbas, TU Dresden |
2015-2016 | Student Worker, Sunfire GmbH, Dresden |
2015-2016 | Intern, Sunfire GmbH, Dresden |
2014-2015 | Student Assistant, Chair of Electrical Power Supply, Prof. Schegner, TU Dresden |
PUBLICATIONS
2024
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Containerisierung von Model Predictive Control für modulare Anlagen: Ein Schritt zu intelligenten Edge Systemen , 2 Jul 2024, p. 33, 45 p.Research output: Contribution to conferences > Paper
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Demonstrating Containerization of Model Predictive Control for Modular Plants , 13 May 2024, Proceedings of the 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). St. Louis: IEEE Xplore, 6 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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A review on machine learning approaches for microalgae cultivation systems , 10 Mar 2024, In: Computers in biology and medicine. 172, 108248Electronic (full-text) versionResearch output: Contribution to journal > Review article
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Towards PEA Matching from Simulation as Part of a Digital Twin Concept for Scale-Up in Modular Plants , Jan 2024, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Vol. 53. p. 595-600, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Aiding Modular Plant Design by Linking Capability and Transformation Models , 2024, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elsevier Science B.V., p. 583-588, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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LSTM-based soft sensor for the prediction of microalgae growth , 2024, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elsevier Science B.V., p. 3145-3150, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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Simulation-Based Robust Model Predictive Control for n-Dimensional Linear Multi-Agent Systems with Uncertain and Heterogeneous Dynamics in Modular Plants , 2024, 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering. Elsevier Science B.V., p. 1939-1944, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
2023
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Requirements for an Ontology for Digital Twins for Scale-Up in Modular Plants , 21 Nov 2023Research output: Contribution to conferences > Presentation slides
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Co-simulation as an enabler of manufacturer independent Power-to-X value chains using modular electrolysis , 20 Nov 2023Research output: Contribution to conferences > Poster
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Thermomechanical modeling of the stabilization process for carbon fiber production , Nov 2023, In: Chemical engineering & technology. 46, 11, p. 2442-2447, 6 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article