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Control Theory: Yesterday’s News or Tomorrow’s Foundation?
University of Iceland, Reykjavík, Iceland
As artificial intelligence and machine learning increasingly shape how models are built and decisions are made, fundamental questions arise about the evolving role of control theory.
As artificial intelligence and machine learning increasingly shape how models are built and decisions are made, fundamental questions arise about the evolving role of control theory.
What, then, is the role of systems and control theory in the era of AI?
What, then, is the role of systems and control theory in the era of AI?
This workshop brings together leading researchers at the intersection of control, optimization, and machine learning to explore how control-theoretic principles can inform the design, analysis, and deployment of intelligent systems, providing structure, interpretability, safety, and performance guarantees in an increasingly data-driven world.
This workshop brings together leading researchers at the intersection of control, optimization, and machine learning to explore how control-theoretic principles can inform the design, analysis, and deployment of intelligent systems, providing structure, interpretability, safety, and performance guarantees in an increasingly data-driven world.
Schedule @ a glance
Schedule @ a glance
9:15 - 9:30
Introduction and motivation
Introduction and motivation
9:30 - 10:00
System Identification and eXplainable AI: Old Foundations for New Frontiers
Donatello Materassi
10:00 - 10:30
Latent Representation Learning for Control Design
Latent Representation Learning for Control Design
Stephen Tu
Coffee Break 10:30 - 11:00
11:00 - 11:30
Control and Technology: A Feedback Loop to Reconnect
Control and Technology: A Feedback Loop to Reconnect
Michael Muehlebach
11:30 - 12:00
Uncertainty-Aware Model-Based Reinforcement Learning: Data Efficiency, Safety, and Learning on Hardware
Uncertainty-Aware Model-Based Reinforcement Learning: Data Efficiency, Safety, and Learning on Hardware
Sebastian Trimpe
Lunch Break 12:05 - 13:30
13:30 - 14:00
Keeping learning under control: Youla’s legacy for stabilizing neural policies and convergent learned algorithms
Luca Furieri
14:00 - 14:30
Learning Interpretable Control Policies with Local Actions and Global Optimality
Learning Interpretable Control Policies with Local Actions and Global Optimality
Ali Mesbah
14:30 - 15:00
Control for Social Systems: A Journey through Experiments, Modeling, and Data
Control for Social Systems: A Journey through Experiments, Modeling, and Data
Lorenzo Zino
Coffee Break 15:00 - 15:20
15:20 - 15:50
First Principles First – Why Control is Fundamental for the Life Sciences
First Principles First – Why Control is Fundamental for the Life Sciences
Giulia Giordano
16:50 - 16:20
From Optimal Control to Disciplined Learning: Lessons from Financial Systems
From Optimal Control to Disciplined Learning: Lessons from Financial Systems
Chung-Han Hsieh
16:20 - 16:50
Panelists: Ali Jadbabaie, Lucia Pallottino, Roland Tòth
Moderator: Florian Dörfler
16:50 - 17:00
Concluding remarks
Concluding remarks
Useful links
Useful links
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