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Koopman Operators for Estimation and Control of Dynamical Systems

Annual Review of Control, Robotics, and Autonomous Systems, 2021
A common way to represent a system's dynamics is to specify how the state evolves in time. An alternative viewpoint is to specify how functions of the state evolve in time. This evolution of functions is governed by a linear operator called the Koopman operator, whose spectral properties reveal intrinsic features of a system.
Samuel E. Otto, Clarence W. Rowley
openaire   +2 more sources

Koopman Operator Inspired Nonlinear System Identification

SIAM Journal on Applied Dynamical Systems, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Deep Koopman Operator-based degradation modelling

open access: yesReliability Engineering and System Safety
Developing reliable health indicators for industrial assets is essential for accurate condition monitoring, fault detection, and predicting the remaining useful lifetime.
Olga Fink, Sergei Garmaev
exaly   +2 more sources

Koopman operator dynamical models: Learning, analysis and control

Annual Reviews in Control, 2021
Stefan Sosnowski, Sandra Hirche
exaly  

Deep learning nonlinear multiscale dynamic problems using Koopman operator

Journal of Computational Physics, 2021
Lijian Jiang
exaly  

Policy Learning with Deep Koopman Operator Networks

2023 International Conference on Advanced Robotics and Mechatronics (ICARM), 2023
Dongdong Zhao 0002   +3 more
openaire   +1 more source

Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator

Entropy, 2020
Boumediene Hamzi   +2 more
exaly  

Koopman Operator with Control Input

IEICE Proceeding Series, 2022
V?t, Cibulka, Milan, Korda, Tom??, Hani?
openaire   +1 more source

Data-Driven Control of Soft Robots Using Koopman Operator Theory

IEEE Transactions on Robotics, 2021
Daniel Bruder   +2 more
exaly  

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