Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Moradi, Mohammadamin"'
Autor:
Panahi, Shirin, Kong, Ling-Wei, Moradi, Mohammadamin, Zhai, Zheng-Meng, Glaz, Bryan, Haile, Mulugeta, Lai, Ying-Cheng
Recent research on the Atlantic Meridional Overturning Circulation (AMOC) raised concern about its potential collapse through a tipping point due to the climate-change caused increase in the freshwater input into the North Atlantic. The predicted tim
Externí odkaz:
http://arxiv.org/abs/2402.14877
Publikováno v:
APL Machine Learning 2 (1), 016118 (2024)
It was recently demonstrated that two machine-learning architectures, reservoir computing and time-delayed feed-forward neural networks, can be exploited for detecting the Earth's anomaly magnetic field immersed in overwhelming complex signals for ma
Externí odkaz:
http://arxiv.org/abs/2402.14131
Complex and nonlinear dynamical systems often involve parameters that change with time, accurate tracking of which is essential to tasks such as state estimation, prediction, and control. Existing machine-learning methods require full state observati
Externí odkaz:
http://arxiv.org/abs/2311.09142
Autor:
Zhai, Zheng-Meng, Moradi, Mohammadamin, Kong, Ling-Wei, Glaz, Bryan, Haile, Mulugeta, Lai, Ying-Cheng
Publikováno v:
Nat Commun 14, 5698 (2023)
Nonlinear tracking control enabling a dynamical system to track a desired trajectory is fundamental to robotics, serving a wide range of civil and defense applications. In control engineering, designing tracking control requires complete knowledge of
Externí odkaz:
http://arxiv.org/abs/2309.11470
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.