Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zheng-Meng Zhai"'
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:
Physical Review Research, Vol 5, Iss 3, p 033127 (2023)
The benefits of noise to applications of nonlinear dynamical systems through mechanisms such as stochastic and coherence resonances have been well documented. Recent years have witnessed a growth of research in exploiting machine learning to predict
Externí odkaz:
https://doaj.org/article/4a5f8c903edf4ed2a4a1ee032e05490d
Publikováno v:
Physical Review Research, Vol 3, Iss 1, p 013155 (2021)
According to the official report, the first case of COVID-19 and the first death in the United States occurred on January 20 and February 29, 2020, respectively. On April 21, California reported that the first death in the state occurred on February
Externí odkaz:
https://doaj.org/article/cdf393a7643346948360aeee5ccb2f08
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
Publikováno v:
Chaos (Woodbury, N.Y.). 32(9)
Symmetries, due to their fundamental importance to dynamical processes on networks, have attracted a great deal of current research. Finding all symmetric nodes in large complex networks typically relies on automorphism groups from algebraic-group th