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On the hierarchical structure of Pareto critical sets

Journal of global optimization, 2019-04, Vol.73 (4), p.891-913

2019

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Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Physica. D, 2020-05, Vol.406, p.132416, Article 132416

2020

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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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Tensor-based dynamic mode decomposition

Nonlinearity, 2018-07, Vol.31 (7), p.3359-3380

2018

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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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Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems

Journal of optimization theory and applications, 2024-05, Vol.201 (2), p.539-582

2024

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Finite-Data Error Bounds for Koopman-Based Prediction and Control

Journal of nonlinear science, 2023-02, Vol.33 (1), Article 14

2023

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An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems

Journal of optimization theory and applications, 2021-03, Vol.188 (3), p.696-723

2021

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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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Inverse multiobjective optimization: Inferring decision criteria from data

Journal of global optimization, 2021-05, Vol.80 (1), p.3-29

2021

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Distributed control of partial differential equations using convolutional reinforcement learning

Physica. D, 2024-05, Vol.461, p.134096, Article 134096

2024

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On the structure of regularization paths for piecewise differentiable regularization terms

Journal of global optimization, 2023-03, Vol.85 (3), p.709-741

2023

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Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling

Acta applicandae mathematicae, 2019-06, Vol.161 (1), p.171-199

2019

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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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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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Explicit multiobjective model predictive control for nonlinear systems with symmetries

International journal of robust and nonlinear control, 2021-01, Vol.31 (2), p.380-403

2021

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On the hierarchical structure of Pareto critical sets

AIP Conference Proceedings, 2019, Vol.2070 (1)

2019

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Explicit multiobjective model predictive control for nonlinear systems under uncertainty

International journal of robust and nonlinear control, 2020-11, Vol.30 (17), p.7593-7618

2020

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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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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

IFAC-PapersOnLine, 2017, 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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Update S2k-Guideline Helicobacter pylori and gastroduodenal ulcer disease of the German Society of Gastroenterology, Digestive and Metabolic Diseases (DGVS)

Zeitschrift fur Gastroenterologie, 2024-02, Vol.62 (2), p.261

2024

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On the hierarchical structure of Pareto critical sets

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

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

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

Tensor-based dynamic mode decomposition

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

Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems

Finite-Data Error Bounds for Koopman-Based Prediction and Control

An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems

Koopman analysis of quantum systems

Inverse multiobjective optimization: Inferring decision criteria from data

Distributed control of partial differential equations using convolutional reinforcement learning

On the structure of regularization paths for piecewise differentiable regularization terms

Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling

Gradient-Based Multiobjective Optimization with Uncertainties

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

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

Explicit multiobjective model predictive control for nonlinear systems with symmetries

On the hierarchical structure of Pareto critical sets

Explicit multiobjective model predictive control for nonlinear systems under uncertainty

Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction

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

A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles

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

Update S2k-Guideline Helicobacter pylori and gastroduodenal ulcer disease of the German Society of Gastroenterology, Digestive and Metabolic Diseases (DGVS)

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