ERC Advanced Grant · 2024
Dual Control at Scale: Learning-based control for systems with millions of states.
In recent years, data-driven control in high dimensions has penetrated into many new application areas. Examples include control of autonomous vehicles based on video data, simulation based prediction of turbulent flows and precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamical systems is hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning-based feedback in high dimensions is still carried out without a…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.