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Control of floating wind turbine: adaptive robust nonlinear solution based on self-tuning gains and neural network approach

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Year: 2024
Type: conference-paper
Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
DOI: 10.1109/iecon55916.2024.10905112
Authors: Mohammad Javad Mirzaei, Mohamed Assaad Hamida, Franck Plestan
Institutions: École Centrale de Nantes, Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes
Language: English

Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Affordable and clean energy

Open Access status: closed

Funders: Agence Nationale de la Recherche, HORIZON EUROPE Framework Programme
Award: Control and REAl TIme simulation of Floating wind turbines and integration to grid
OpenAlex ID: W4408281197
FWCI:
Cites: 24
Cited by:
Related to: 10
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