L4DC 2024 Oral Presentation 3: Learning for Control

Join us for Session 3: Learning for Control at the Learning for Dynamics and Control Conference, held on July 17. This session features innovative research focused on learning methodologies in control systems.

Presentations include:

Uncertainty Quantification of Set-Membership Estimation in Control and Perception: Revisiting the Minimum Enclosing Ellipsoid
Authors: Yukai Tang, Jean-Bernard Lasserre, and Heng Yang

Learning Robust Policies for Uncertain Parametric Markov Decision Processes
Authors: Luke Rickard, Alessandro Abate, and Kostas Margellos
System-level Safety Guard: Safe Tracking Control through Uncertain Neural

Network Dynamics Models
Authors: Xiao Li, Yutong Li, Anouck Girard, and Ilya Kolmanovsky

In vivo learning-based control of microbial populations density in bioreactors
Authors: Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, and Mario di Bernardo

Explore the latest advancements in learning for control, emphasising safety, robustness, and innovative applications in various fields.