1. A partnership with a private company: the development of an anti-sway system for an overhead bridge crane. A time-optimal control system has been designed that allows the calculation of the number of switches and of the switching times of the control action. This method is based on affine mappings that transform a poorly damped second order system into one where the switching curves are easy to draw and can be graphically interpreted.
2. Modeling and on-line identification of antagonistic muscles for horizontal shoulder abduction and adduction in rehabilitation therapies based on Functional Electrical Stimulation. Two models based on lumped parameters mechanical modeling have been developed and their parameters experimentally identified. Finally, an Extended Kalman Filter has been designed for one of them, in view of an adaptive control design.
The Control System Lab of the University of Bergamo is a partner in the Move Team (move.dei.polimi.it), an academic joint venture between the Electronics, Computer Science and Bioengineering Department of the Politecnico di Milano and the Department of Engineering of the University of Bergamo.
Fabio Previdi has been working as an Associate Professor in the Engineering Department of the University of Bergamo since 2006. He holds an MS in Control Systems Engineering from the Politecnico di Milano (Milan Polytechnic University, Italy), an MS in Nuclear Physics from the University of Milan, and a PhD in Control Systems from the Politecnico di Milano.
From 1999 to 2000, he worked as a Research Assistant in the Department of Mechanical Engineering at the University of Glasgow, Scotland. From 2000 to 2002, he was a Research Assistant in the Department of Electronics, Computer Science and Bioengineering at the Politecnico di Milano, Italy. From 2002 to 2006, he was an Assistant Professor in the Department of Engineering at the University of Bergamo, Italy.
