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Koopman operators and Extended dynamic mode decomposition for the inverted pendulum
2022 4th International Conference on Industrial Artificial Intelligence (IAI), 2022John Leventides +2 more
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SNAME International Conference on Fast Sea Technology
Abstract This study explores Bayesian Hankel extended Dynamic Mode Decomposition with control (BHeDMDc) as data-driven, model-free methods for predicting the response of the Generic Prismatic Planing Hull (GPPH) in wave conditions. This approach decomposes complex vessel dynamics into spatial-temporal coherent modes,
Giorgio Palma +7 more
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Abstract This study explores Bayesian Hankel extended Dynamic Mode Decomposition with control (BHeDMDc) as data-driven, model-free methods for predicting the response of the Generic Prismatic Planing Hull (GPPH) in wave conditions. This approach decomposes complex vessel dynamics into spatial-temporal coherent modes,
Giorgio Palma +7 more
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Koopman theory is widely used for data-driven modeling of nonlinear dynamical systems. One of the well-known algorithms that stem from this approach is the Extended Dynamic Mode Decomposition (EDMD), a data-driven algorithm for uncontrolled systems. In this thesis, we will start by discussing the EDMD algorithm.
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A three-dimensional dynamic mode decomposition analysis of wind farm flow aerodynamics
Renewable Energy, 2022xuan Dai, Da Xu, Mengqi Zhang
exaly
International Journal of Control, Automation and Systems, 2022
Shijie Li +3 more
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Shijie Li +3 more
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Dynamic Mode Decomposition with Control
SIAM Journal on Applied Dynamical Systems, 2016Joshua L Proctor +2 more
exaly