Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohammadamin Moradi"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 036103-036103-15 (2024)
The Atlantic Meridional Overturning Circulation (AMOC) is a significant component of the global ocean system, which has so far ensured a relatively warm climate for the North Atlantic and mild conditions in regions, such as Western Europe. The AMOC i
Externí odkaz:
https://doaj.org/article/301d0556796d4815b52703462fc7c517
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026121-026121-16 (2024)
Reinforcement learning (RL) has been employed to devise the best course of actions in defending the critical infrastructures, such as power networks against cyberattacks. Nonetheless, even in the case of the smallest power grids, the action space of
Externí odkaz:
https://doaj.org/article/5fcfef0695384b76b8ef053437762dd8
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016118-016118-12 (2024)
It has been 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
Externí odkaz:
https://doaj.org/article/882427b4384846db883c64eeab629e92
Autor:
Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract 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 kno
Externí odkaz:
https://doaj.org/article/52701337be3c4c5993deb1adab474f6a
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013196 (2024)
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:
https://doaj.org/article/ecba93c1c688458eb258c15dd9cfde28
Publikováno v:
PRX Energy, Vol 2, Iss 4, p 043007 (2023)
The integration of computing and communication capabilities into the power grid has led to vulnerabilities enabling attackers to launch cyberattacks on the grid. The resources that can be deployed to protect a power grid are limited, rendering the ne
Externí odkaz:
https://doaj.org/article/e5f38c14299d47849c4f41ae7186d7a5
Publikováno v:
PRX Energy, Vol 1, Iss 3, p 033005 (2022)
A key to ensuring the security of smart electrical power grids is to devise and deploy effective defense strategies against cyberattacks. To achieve this goal, an essential task is to simulate and understand the dynamic interplay between the attacker
Externí odkaz:
https://doaj.org/article/69ea6ff69fb24c14a4c0ad1c1ced93ba
Autor:
Ying-Cheng Lai, Ling-Wei Kong, Zheng-Meng Zhai, Mohammadamin Moradi, Bryan Glaz, Mulugeta Haile
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:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e99ca7d02cef7990f05433f7ba6130d
https://doi.org/10.21203/rs.3.rs-2886752/v1
https://doi.org/10.21203/rs.3.rs-2886752/v1
Publikováno v:
Physical Review Applied. 19