2 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics
Junqi Yin, Siming Liang, Siyan Liu +4
The weather and climate domains are undergoing a significant transformation thanks to advances in AI-based foundation models such as FourCastNet, GraphCast, ClimaX and Pangu-Weathe…
Convergence Analysis for A Stochastic Maximum Principle Based Data Driven Feedback Control Algorithm
Siming Liang, Hui Sun, Richard Archibald +1
This paper presents convergence analysis of a novel data-driven feedback control algorithm designed for generating online controls based on partial noisy observational data. The al…
Nonlinear ensemble filtering with diffusion models: Application to the surface quasi-geostrophic dynamics
Feng Bao, Hristo G. Chipilski, Siming Liang +2
The intersection between classical data assimilation methods and novel machine learning techniques has attracted significant interest in recent years. Here we explore another promi…
An Online Algorithm for Solving Feedback Optimal Control Problems with Partial Observations
Siming Liang, Ruoyu Hu, Feng Bao +2
This paper presents a novel methodology to tackle feedback optimal control problems in scenarios where the exact state of the controlled process is unknown. It integrates data assi…