no code implementations • 21 Feb 2024 • Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
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.
1 code implementation • Nature Communications 2023 • Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
We develop a model-free, machine-learning framework to control a two-arm robotic manipulator using only partially observed states, where the controller is realized by reservoir computing.
no code implementations • 15 Nov 2022 • Zheng-Meng Zhai, Ling-Wei Kong, Ying-Cheng Lai
Can noise be beneficial to machine-learning prediction of chaotic systems?
no code implementations • 5 Oct 2022 • Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
We articulate the design imperatives for machine-learning based digital twins for nonlinear dynamical systems subject to external driving, which can be used to monitor the ``health'' of the target system and anticipate its future collapse.
no code implementations • 13 Mar 2021 • Huawei Fan, Ling-Wei Kong, Ying-Cheng Lai, Xingang Wang
In applications of dynamical systems, situations can arise where it is desired to predict the onset of synchronization as it can lead to characteristic and significant changes in the system performance and behaviors, for better or worse.
no code implementations • 2 Dec 2020 • Ling-Wei Kong, Hua-Wei Fan, Celso Grebogi, Ying-Cheng Lai
Remarkably, for a parameter drift through the critical point, the machine with the input parameter channel is able to predict not only that the system will be in a transient state, but also the average transient time before the final collapse.
no code implementations • 20 Nov 2020 • Huawei Fan, Ling-Wei Kong, Xingang Wang, Alan Hastings, Ying-Cheng Lai
Transients are fundamental to ecological systems with significant implications to management, conservation, and biological control.