Adaptive state space representations enabling reliable and robust decision-making in asynchronous drives for mechatronic applications. - Arne De Keyser; Dirk Stroobandt; Guillaume Crevecoeur (AIM, 2017)

Convex Mapping Formulations Enabling Optimal Power Split and Design of the Electric Drivetrain in All-Electric Vehicles. - Arne De Keyser; Matthias Vandeputte; Guillaume Crevecoeur (IEEE Trans. Veh. Technol., 2017)

Data-Driven Optimal Power Flow Management in an Electric Dual-Drive Topology for Vehicle Electrification. - Arne De Keyser; Guillaume Crevecoeur (AIM, 2018)

Integrated Offline Reinforcement Learning for Optimal Power Flow Management in an Electric Dual-Drive Vehicle. - Arne De Keyser; Guillaume Crevecoeur (AIM, 2019)

Adaptive Convex Loss Mappings for Enhanced Loss Assessment in Asynchronous Drives. - Arne De Keyser; Hendrik Vansompel; Guillaume Crevecoeur (IEEE Trans. Control. Syst. Technol., 2019)

Real-Time Energy-Efficient Actuation of Induction Motor Drives Using Approximate Dynamic Programming. - Arne De Keyser; Hendrik Vansompel; Guillaume Crevecoeur (IEEE Trans. Ind. Electron., 2021)