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Nonlinear modelling and optimal control via Takagi-Sugeno fuzzy techniques: A quadrotor stabilization Cover

Nonlinear modelling and optimal control via Takagi-Sugeno fuzzy techniques: A quadrotor stabilization

Journal of Electrical Engineering
Volume 71 (2020): Issue 1 (February 2020)
By: Miroslav Pokorný,  Tomáš Dočekal and  Danica Rosinová  
Open Access
|Mar 2020

Authors

Miroslav Pokorný

VSB-Technical University of Ostrava, FEI, Department. of Cybernetics and Biomedical Engineering, Ostrava

Tomáš Dočekal

VSB-Technical University of Ostrava, FEI, Department. of Cybernetics and Biomedical Engineering, Ostrava

Danica Rosinová

danica.rosinova@stuba.sk

Slovak University of Technology in Bratislava, FEI, Institute of Automotive Mechatronics, Bratislava, Slovakia
DOI: https://doi.org/10.2478/jee-2020-0001 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 1 - 10
Submitted on: Dec 28, 2019
|
Published on: Mar 20, 2020
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
T-S model,
PDC control,
LMI approach,
LQR optimization,
GA method,
quadrotor
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2020 Miroslav Pokorný, Tomáš Dočekal, Danica Rosinová, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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