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

A new paradigm in discovering nonlinear governing equations from the time evolution of tribological phenomena

Computational-experimental study of advanced hybrid modelling and control techniques for the evaluation of the power flow in vehicle electrification

Design of low frequency metamaterial technology for the electrical power transfer to forces and torques

Detection and avoidance of low probability phenomena using probabilistic graphical models in electromechanical actuators

Detection and avoidance of low probability phenomena using probabilistic graphical models in electromechanical actuators.

dotation 2018 EEDT-DC

Dotation 2019 - EEDT - DC

Dynamic hybrid models for virtual scenario testing and optimal design of drivetrains

Emodo: Efficient model based design parameter exploration and optimalization in mechatronics

EVIT: Model-based experimental-virtual testing

Flanders Make SBO - Deterministic and Inexpensive Realizations of Advanced Control - DIRAC

Framework for Systematic Design of Digital Twins - DTDesign

FROGS - Flexible and Robust Robotic Gripping Solutions able to deal with product variability

Hybrid AI for Estimation in Mechatronics

InduFlexControl - Control algorithms for flexibility in power-to-X and industrial processes

Integrated Identification for Control - ID2CON

Maximum energy yield tracking for renewable energy systems to accommodate the variability of energy sources

MODA: Model-Bases Data Analytics

MoForM: Model based force measurements

MULTISENSOR: Multi-sensor system design and validation

Multi-System Learning Control - MultiSysLeCo

Optimization of Electrically Resonant Power Transfer Structures for Remote Rotational and Translational Actuation.

Product-Assembly CoDesign

Developing the tools and insight to expand the Belgian offshore wind farms with airborne wind energy systems

Equine arrhythmias: innovations that improve diagnosis, horse welfare and rider’s safety

Physics-enhanced machine learning for domain-aware predictive maintenance.