What CEMLab works on
The laboratory's research themes, from control theory to artificial vision.
Artificial Intelligence & Machine Learning
Neural networks, fuzzy inference, evolutionary optimization and learning-based classification applied to control and energy problems.
Robotics & Autonomous Systems
Manipulators, mobile robots, quadrotors and autonomous vehicles, with a focus on trajectory tracking and cooperative control.
Fault Diagnosis & Reliability
Observer design, fault detection and isolation, and fault-tolerant control for keeping industrial and energy systems dependable.
Nonlinear & Robust Control
Sliding mode, backstepping, adaptive and Lyapunov-based design for systems that are uncertain, constrained or strongly nonlinear.
Smart Grids & Power Systems
Distribution networks, microgrids, optimal power flow and voltage stability for medium-voltage and smart grid infrastructure.
Fractional-Order Systems
Modelling, stability analysis and control of fractional-order dynamics — a sustained line of work for the lab.
Renewable Energy & Photovoltaics
Photovoltaic and wind conversion chains, maximum power point tracking, and the integration of renewable sources into the grid.
Computer Vision & Image Processing
Segmentation, recognition and artificial vision, including applications to inspection and to medical imaging.
Electrical Machines & Power Electronics
Induction and synchronous machine drives, converters and inverters, and the control strategies that run them efficiently.
Energy Management & Efficiency
Energy optimization, storage and demand-side management — the "energy management" half of the laboratory's remit.