Learning Control in Practice: Novel Paradigms for Industrial Applications. - Jeroen Willems; Erik Hostens; Bruno Depraetere; Armin Steinhauser; Jan Swevers (CCTA, 2018)

An Input- Mapping Initialization Approach to Accelerate Iterative Learning of Similar Tasks. - Jeroen Willems; Erik Hostens; Bruno Depraetere; Daniele Ronzani; Armin Steinhauser; Jan Swevers (ICM, 2019)

A General Multi-System Learning Control Framework and its Application to Non-Synchronized Experiments. - Jeroen Willems; Bruno Depraetere; Sorin Bengea (CCTA, 2022)

Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. - Jeroen Willems; Kerem Eryilmaz; Denis Steckelmacher; Bruno Depraetere; Rian Beck; Abdellatif Bey-Temsamani; Jan Helsen; Ann Nowé (CCTA, 2022)

Optimal Motion Control using Neural Networks Applied to a Slider-Crank Mechanism. - Edward Kikken; Jeroen Willems; Bruno Depraetere (CCTA, 2023)

Optimal and Charge-Sustainable Energy Management Systems for Industrial DC Grids. - Taranjitsingh Singh; Jeroen Willems; Bruno Depraetere; Glenn Emmers; Thomas Vandenhove; Jeroen Stuyts (CoDIT, 2023)

A Clustering-Based Approach for Adaptive Control Applied to a Hybrid Electric Vehicle. - Rian Beck; Sudarsan Kumar Venkatesan; Joram Meskens; Jeroen Willems; Edward Kikken; Bruno Depraetere (ICINCO (1), 2023)

Probabilistic Physics-Augmented Neural Networks for Robust Control Applied to a Slider-Crank System. - Edward Kikken; Jeroen Willems; Rob Salaets; Erik Hostens (ICINCO (1), 2023)

Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. - Hélène Plisnier; Denis Steckelmacher; Jeroen Willems; Bruno Depraetere; Ann Nowé (CoRR, 2023)