Search Results - "Neisen, Verena" :: K.UTB vyhledávací portál

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Dynamic Tracking of Power Demand for Integrated Fuel Cell Systems using Nonlinear Model Predictive Control

by Neisen, Verena, Mannhardt, Jacob, Abel, Dirk
Published in IFAC-PapersOnLine (2020)

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Journal Article

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Dynamic Tracking of Power Demand for Integrated Fuel Cell Systems using Nonlinear Model Predictive Control⁎⁎Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK 1856

by Neisen, Verena, Mannhardt, Jacob, Abel, Dirk
Published in IFAC-PapersOnLine (2020)

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Journal Article

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Supervisory Model-based Control using Mixed Integer Optimization for stationary hybrid fuel cell systems

by Neisen, Verena, Baader, Florian Joseph, Abel, Dirk
Published in IFAC-PapersOnLine (2018)

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Journal Article

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Supervisory Model-based Control using Mixed Integer Optimization for stationary hybrid fuel cell systems⁎⁎Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK 1856

by Neisen, Verena, Baader, Florian Joseph, Abel, Dirk
Published in IFAC-PapersOnLine (2018)

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Journal Article

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Optimization Approaches for Model Predictive Power Flow Control in Hybrid Fuel Cell Systems

by Neisen, Verena, Futing, Michael, Abel, Dirk
Published in IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (01.10.2019)

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Conference Proceeding

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Model predictive control for road disturbance rejection in on-curb parking scenarios

by Josevski, Martina, Katriniok, Alexander, Neisen, Verena, Riek, Andreas, Abel, Dirk
Published in 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (01.12.2017)

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Conference Proceeding

Dynamic Tracking of Power Demand for Integrated Fuel Cell Systems using Nonlinear Model Predictive Control

Dynamic Tracking of Power Demand for Integrated Fuel Cell Systems using Nonlinear Model Predictive Control⁎⁎Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK 1856

Supervisory Model-based Control using Mixed Integer Optimization for stationary hybrid fuel cell systems

Supervisory Model-based Control using Mixed Integer Optimization for stationary hybrid fuel cell systems⁎⁎Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK 1856

Optimization Approaches for Model Predictive Power Flow Control in Hybrid Fuel Cell Systems

Model predictive control for road disturbance rejection in on-curb parking scenarios

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