Doctoral project Tom Lefebvre

Accelerating Nonlinear Model Predictive Control through Optimal Control Problem Reformulations

Bringing Reinforcement Learning to Real-World Mechatronic Systems: A Hybrid Learning Control Approach

Doctoral project Lennert De Knop

Doctoral project Olivier Algoet

Hybrid Markov Decision Processes for filtering and predicting quality variations in production processes

Merging classical controllers with reinforcement learning for safety critical systems

Model-based control design and commissioning of industrial machines through Bayesian optimization

Physics-informed neural networks for distributed thermal field reconstruction in electromechanical systems

Probabilistic hybrid modelling for the control design of industrial machines

Trajectory optimization and control of robotic manipulators

CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems (CTRLxAI=T(H)RUST)