Optimization is the discipline that concerns the investigation of the algorithms for searching the points of minimum or maximum of cost functions and functionals.
The goal is that of making the students achieve the capacity modeling dynamic systems and solving control problems involving the optimization of some performance index.
Mastery of the ability to model dynamic systems and solve control problems that require the optimization of performance indices.
Theoretical lectures and exercises for a number of about 50 hours on the overall. Guided lectures with Matlab.
The contents of the course are the following: 1) system theory; 2) mathematical programming; 3) optimal control.
D. Xue, Y. Chen, D.P. Atherton, Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control), SIAM, 2007.
T. Kailath, Linear Systems, Paperback, Prentice Hall, 2016.
D. Bertsekas, Nonlinear Programing, Athena Scientific, 1999.
Ricevimento: For questions, contact the lecturer to agree on the time of meeting.
ANGELO ALESSANDRI (President)
RICCARDO MINCIARDI (President)
DAVIDE GIGLIO
ROBERTO SACILE
First semester.
Oral examination to agree with the lecturer.
Verification of the capability to formulare and solve problems of optimization and optimal control.
For questions, contact the lecturer to agree on the time of meeting.
