Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control & Moving Horizon Estimation

Author:

Gros Sebastien,Zanon Mario,Diehl Moritz

Publisher

IEEE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Path Following or Tracking Model Predictive Control for Towing Kites – A Question of Formulation or Learning?;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16

2. Optimal Operation and Control of Towing Kites using Online and Offline Gaussian Process Learning Supported Model Predictive Control;2022 American Control Conference (ACC);2022-06-08

3. Large-eddy simulation of airborne wind energy farms;Wind Energy Science;2022-05-24

4. Energy Optimization of Airborne Wind Energy System via Deep Reinforcement Learning;Lecture Notes in Electrical Engineering;2022

5. Data-driven nonlinear aeroelastic models of morphing wings for control;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2020-07

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