Mitigating Dimensionality and Uncertainty in Systems: A Transition from Classical Control to AI
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As part of ‘French Sciences in Oxford: Cross-Channel Conversations’
Christophe Prieur (CNRS)
Chaired by Dong (Lilly) Liu (University of Oxford)
Abstract: This lecture aims to provide a comprehensive overview of current research in control theory and its applications. Rooted in physics, engineering, and mathematics, this field integrates the modeling of dynamical systems, stability analysis of control models, and the design of efficient (or even optimal) control strategies.
The lecture will highlight the key milestones that have shaped modern research in control theory and systems, with a particular focus on my contributions, as CNRS researcher, obtained with co-authors. We will explore how control plays a central role in addressing critical societal, informatics, and engineering challenges.
Additionally, we will introduce ongoing research projects, including those related to high-dimensional systems, the control of uncertain systems, and the « deluge » of AI-based approaches transforming the field.