Thesis Proposals of the Program's research lines are related to:

• Autonomous navigation of a mini unmanned vehicle dedicated to bathymetry and exploration in shallow water.
• Real-time design and control of a hydrographic platform affected by waves and sea currents
• Stabilization of an underwater vehicle for flaws detection in pipelines.
• Control based on the ZMP for walking a Humanoid Robot.
• Control of trajectories in a hovercraft to perform bathymetry.
• Locating System using a Particle Filter for a Humanoid Robot on a Soccer Field.
• Study of the effects produced by degradation in V-type coupling bands in electric machines.
• Study of an Online Functional Testing System (SPFL) applied in the Instrumented Security System (SIS) for emergency stop.
• Three-phase standard flaw tolerant inverter based on material redundancy.
• Modeling and design of controllers for permanent magnet synchronous motors using the Hamiltonian formulation controlled by ports.
• Design of nonlinear observers based on passivity for synchronous permanent magnet motors.
• Modeling and design of position controllers based on passivity for an unmanned quadricopter.
• Design of position controllers in sliding mode for an unmanned quadricopter.
• Development of detection algorithms of objects in presence of fluctuating bottom/background with power that depends on the presence of the object using the sequences of images.
• Development of algorithms for detection of obscure objects for video monitoring systems.
• Development of algorithms for size recognition of obscure objects in videos tracking systems.
• Development of video systems for detection and tracking of floating objects on sea surface.
• Development of adaptive algorithms for detecting multipixel objects in the presence of fluctuating background.
• Development of size recognition systems of multipixel objects in the presence of the fluctuating background.
• Robust control for the kapitza pendulum: attractive ellipsoid method.
• Observer-based control for pendcon pendulum stability.
• Sliding mode for stochastic systems.
• A new stabilizing solution for planning and control of multiple robotic movements.
• Low tracking control of stochastic noise of an autonomous underwater vehicle8.