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1.Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems

Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems / aut. Ján Drgoňa, Karol Kiš, Aaron Tuor, Draguna Vrabie, Martin Klaučo
Drgoňa Ján Kiš Karol ; 047220 Tuor Aaron Vrabie Draguna Klaučo Martin ; 047220
Journal of Process Control . Vol. 116, (2022), s. 80-92
Differentiable predictive control model predictive control Neural state space models Data-driven differentiable optimization deep learning
https://www.sciencedirect.com/science/article/pii/S0959152422000981#!
článok z periodika
ADC - Scientific titles in foreign carented magazines and noticed year-books
V3 - Vedecký výstup publikačnej činnosti z časopisu

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2.Teaching Robotics with the Usage of Robot Operating System ROS

Teaching Robotics with the Usage of Robot Operating System ROS / aut. Miroslav Kohút, Marek Čorňák, Michal Dobiš, Andrej Babinec
Kohút Miroslav ; 031000 Čorňák Marek ; 031000 Dobiš Michal ; 031000 Babinec Andrej ; 031000
Robotics in Education : . S. 299-313
Robot operating system ROS education framework robotics course
https://link.springer.com/chapter/10.1007/978-3-031-38454-7_25
článok zo zborníka
AFC - Reports at international scientific conferences
V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka

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3.Windows 95 - Podrobná referenční příručka

Windows 95 - Podrobná referenční příručka / [aut.]Hlavenka,Jiří
Hlavenka Jiří
2.vyd.
Praha : Computer Press, 1997 . - 310 s : Tab.,register
ISBN 80-85896-53-2
brožúra

Faculty	Available	Inaccesible	Issued	For Request Only
FCHPT	0	0	0	2

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