Model predictive control (MPC)

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

Learning from traffic management to speed up the energy transition - by Fabian Böhm

Extract georeferenced vehicle trajectories from drone videos - by Robert Fonod

Use distributionally robust Stackelberg games to make decisions - by Zheyu Wu

Meta-learning, the secret to fast recalibration of controllers - by Salma Elfeki

Can batteries support Run-of-River power plants during periods of low electricity prices? - by Yannick Schüpbach

A computational approach to uncover hidden opinion dynamics - by Michelle Egger

Using real-time sensors to detect early warning signs of power grid instability - by Ioannis Papadopoulos

System Identification Methods leveraging Backpropagation - by Muhammad Zakwan

A divide-and-conquer approach to plan under constraints - by Panagiotis Grontas

Strategy guidance for teaching robots to stay within safe bounds - by Nicholas Behr

How smart incentives can keep the grid stable - by Jonas Matt

Optimising long-term decisions using short-term insights - by Junan Lin

Using SoS optimisation to find a robust controller for unknown systems - by Caroline Gärtner

Real-time tracking under real-life constraints - by Anastasis Vlachos

A way to find happiness? - by Claudia Fischer

Data-driven control helps to reduce traffic congestion - by Philippe Brigger