Teaching

Laurea Degree

Control System Design - Networked Control for Multiagent Systems

72h-9CFU Class, 5th Year, Automation Engineering course

Contents: advanced methodologies for modeling, estimation, control; linear and non-linear optimization; multiagent systems; camera networks and robotic networks; applications.

Robotics, Vision & Control

72h-9CFU Class, 5th Year, Automation Engineering course

Contents: basics of robotics; pose representation; robotic arm control; computational vision for robotics; visual servoing.

Fundamentals of Automatic Control

72h-9CFU Class, 3th Year, Information Engineering course

Contents: signals and systems; system modeling; analytical and graphical techniques for sys- tem analysis and control design; PID controllers.

Control System Laboratory

48h-6CFU Class, 3th Year, Information Engineering course

2015–16 2016–17 2017–18 2018–19

Contents: digital control; complements of automatic control; numerical laboratory; DC motor laboratory.

Computational Vision for Distributed Systems

48h-6CFU Class, 5th Year, Automation Engineering course 

Contents: algebra of SO3-SE3; single view geometry; multi view geometry and epipolar geom- etry; calibration algorithms; camera network transitional models and Hidden Markov Models; feature detection; camera and robotic networks: coverage, patrolling, and multiagent tracking.

System Theory

48h-6CFU Class, 4th Year, Mechatronics Engineering course 

78h-9CFU Class, 4th Year, Mechatronics Engineering course 

2009–10 2010–11

Contents: linear algebra; dynamical system modeling; linearization; discrete- and continuous- time state-space models; modal analysis and system stability; Lyapunov theory; structural prop- erties of linear dynamical systems; feedback control; design of controllers and observers.

System Analysis

54h-6CFU Class, 4th Year, Mechatronics Engineering course 

54h-6CFU Class, 3th Year, Mechatronics Engineering course  

2006–07 2007–08 

Contents: linear algebra; dynamical system modeling; linearization; discrete- and continuous- time state-space models; modal analysis and system stability; Lyapunov theory; structural prop- erties of linear dynamical systems; feedback control; design of controllers and observers.

Automatic Control

2nd Year, Mechatronics Engineering course Exercise Lessons.

2005–06 2006–07 2007–08 2008–09 

PhD Course

Feedback Control Theory with application to Tokamak Control

International Doctorate in Fusion Science and Engineering Contents: fundamentals of control theory and space state systems. 

2007–08 2008–09 2016–17 2018–19 2020–21