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Koopman operator-based model reduction for switched-system control of PDEs

Automatica (Oxford), 2019-08, Vol.106, p.184-191

2019

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On the universal transformation of data-driven models to control systems

Automatica (Oxford), 2023-03, Vol.149, p.110840, Article 110840

2023

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On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7797-7808

2022

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Koopman analysis of quantum systems

Journal of physics. A, Mathematical and theoretical, 2022-08, Vol.55 (31), p.314002

2022

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Koopman analysis of quantum systems Contribution to the Special Collection Koopman Methods in Classical and Quantum-Classical Mechanics

Journal of physics. A, Mathematical and theoretical, 2022-07, Vol.55 (31)

2022

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Error bounds for kernel-based approximations of the Koopman operator

Applied and computational harmonic analysis, 2024-07, Vol.71, Article 101657

2024

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Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits

Proceedings in applied mathematics and mechanics, 2023-10, Vol.23 (2)

2023

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Gradient-Based Multiobjective Optimization with Uncertainties

NEO 2016, p.159-182

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Deep model predictive flow control with limited sensor data and online learning

Theoretical and computational fluid dynamics, 2020-08, Vol.34 (4), p.577-591

2020

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Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator

The Koopman Operator in Systems and Control, p.257-282

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Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning

SIAM journal on scientific computing, 2023-04, Vol.45 (2), p.A579-A595

2023

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Pareto Explorer: a global/local exploration tool for many-objective optimization problems

Engineering optimization, 2020-05, Vol.52 (5), p.832-855

2020

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POD‐based multiobjective optimal control of PDEs with non‐smooth objectives

Proceedings in applied mathematics and mechanics, 2017-12, Vol.17 (1), p.51-54

2017

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Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction

Proceedings in applied mathematics and mechanics, 2015-10, Vol.15 (1), p.613-614

2015

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ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids

Journal of open source software, 2023-09, Vol.8 (89), p.5616

2023

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Towards reliable data-based optimal and predictive control using extended DMD

IFAC-PapersOnLine, 2023, Vol.56 (1), p.169-174

2023

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A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems

Numerical and Evolutionary Optimization – NEO 2017, p.29-61

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ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation

Non-Smooth and Complementarity-Based Distributed Parameter Systems, 2022, Vol.172, p.43-76

2022

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Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction

Machine Learning, Optimization, and Data Science, 2022, Vol.13164, p.101-115

2022

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A Comparison of two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles

Procedia technology, 2016, Vol.26, p.465-472

2016

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Multiobjective Model Predictive Control of an Industrial Laundry

Procedia technology, 2016, Vol.26, p.483-490

2016

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Development of an Intelligent Cruise Control Using Optimal Control Methods

Procedia technology, 2014, Vol.15, p.285-294

2014

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In the European population HLA-class II genes are not associated with Helicobacter pylori infection

European journal of gastroenterology & hepatology, 2002-01, Vol.14 (1), p.49-53

2002

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A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL)

IFAC-PapersOnLine, 2017-07, Vol.50 (1), p.8674-8679

2017

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Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification

2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, p.1-6

2019

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Koopman operator-based model reduction for switched-system control of PDEs

On the universal transformation of data-driven models to control systems

On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation

Koopman analysis of quantum systems

Koopman analysis of quantum systems Contribution to the Special Collection Koopman Methods in Classical and Quantum-Classical Mechanics

Error bounds for kernel-based approximations of the Koopman operator

Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits

Gradient-Based Multiobjective Optimization with Uncertainties

Deep model predictive flow control with limited sensor data and online learning

Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator

Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning

Pareto Explorer: a global/local exploration tool for many-objective optimization problems

POD‐based multiobjective optimal control of PDEs with non‐smooth objectives

Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction

ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids

Towards reliable data-based optimal and predictive control using extended DMD

A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems

ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation

Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction

A Comparison of two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles

Multiobjective Model Predictive Control of an Industrial Laundry

Development of an Intelligent Cruise Control Using Optimal Control Methods

In the European population HLA-class II genes are not associated with Helicobacter pylori infection

A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL)

Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification

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