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A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction

Mathematical and computational applications, 2018-06, Vol.23 (2), p.30

2018

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Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models

Mathematical and computational applications, 2021-06, Vol.26 (2), p.31

2021

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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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Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping

SIAM journal on optimization, 2024-09, Vol.34 (3), p.2259-2286

2024

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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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Data-Driven Model Predictive Control using Interpolated Koopman Generators

SIAM journal on applied dynamical systems, 2020-01, Vol.19 (3), p.2162-2193

2020

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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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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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Error bounds for kernel-based approximations of the Koopman operator

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

2024

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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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Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories

SIAM journal on applied dynamical systems, 2024-01, Vol.23 (1), p.885-923

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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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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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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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 Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction

Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models

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

Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping

Tensor-based dynamic mode decomposition

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

Data-Driven Model Predictive Control using Interpolated Koopman Generators

Koopman analysis of quantum systems

Distributed control of partial differential equations using convolutional reinforcement learning

Error bounds for kernel-based approximations of the Koopman operator

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

Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories

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

Gradient-Based Multiobjective Optimization with Uncertainties

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

Explicit multiobjective model predictive control for nonlinear systems with symmetries

On the hierarchical structure of Pareto critical sets

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

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