Model predictive control (MPC)

Guaranteed safety even in uncertain environments - by Jair Reyes Gutierrez

Learning to adjust a control algorithm without giving up what we already know - by Jonas Ohnemus

Cooperative game theory for energy sharing in energy communities - by Saurabh Vaishampayan

Decision making for cascading uncertainty - by Mengmeng Li

How control theory plans for Murphy’s Law - by Jakob Nylöf

Accelerating life-saving decisions through efficient sampling - by Buse Sen

How to combine safe and reliable control with high-performance learning-based strategies - by Nicolas Kirsch

Controlling complex systems by making them look simple - by Vishnu Varadan

How to mass-produce reliable, high-performance systems - by Vaibhav Gupta

How autonomous vehicles find the safest path by thinking like a lamp - by Simone Baratto

Automation solutions for next-generation electric grids - by Pulkit Nahata

How to optimally schedule district heating operation to support the electricity grid - by Giacomo Mastroddi and Marco Muttoni

How rules help guide decision-making in complex systems - by Matteo Penlington

How to decide upon groceries daily and what this has to do with time-varying optimisation problems - by Xian Li

Getting away with mistakes and applying this to the energy transition - by Sven Neubauer

Learning taxi prices through interactions - by Zhiyu He

Mitigating the detrimental effect of AI on the power grid - by Jethusan Jeyaruban

How to increase the transmission capacity of the electric power grid efficiently and economically - by Samuel Renggli

A new way to explore the moon - by Joseph Church

Safe Recommendations for Adaptive Control Algorithms - by Marcell Bartos