Control systems and automation

• Advanced machine learning for factory optimization
  
• Advanced nonlinear model predictive control: Theory, numerical aspects, and applications
  
• Agritech: Autonomous robot for grapes harvesting
  
• Analysis and control of hybrid systems
  
• Collision detection for industrial manipulators
  
• Combined grey-black-box (GBB) model identification.
  
• Control of mobility-on-demand systems
  
• Data-driven control design for nonlinear systems
  
• Data-driven control of biomedical systems
  
• Design of advanced control algorithms for aerospace applications
  
• Design of experiments
  
• Design of observers for nonlinear systems
  
• Development and assessment of model-based and sensor-based algorithms for combustion and emission control in diesel engines
  
• Direct virtual sensors
  
• Friction modelling and identification for industrial manipulators
  
• Game theory in dynamical games
  
• Inversion of nonlinear maps
  
• Nonlinear model predictive control for automotive applications
  
• Polynomial optimization in control
  
• Quantum optimization for complex system design and control
  
• Test systems for low-cost space systems
  
• The Growing Curvilinear Component Analysis (GCCA) Neural Network
  
• Unsupervised real-time seed detection for precision agriculture seeding machine