OVERVIEW
Optimization is the discipline that concerns the investigation of the algorithms for searching the points of minimum or maximum of cost functions and functionals.
AIMS AND CONTENT
LEARNING OUTCOMES
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.
AIMS AND LEARNING OUTCOMES
Mastery of the ability to model dynamic systems and solve control problems that require the optimization of performance indices.
TEACHING METHODS
Theoretical lectures and exercises for a number of about 50 hours on the overall. Guided lectures with Matlab.
SYLLABUS/CONTENT
The contents of the course are the following: 1) system theory; 2) mathematical programming; 3) optimal control.
RECOMMENDED READING/BIBLIOGRAPHY
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.
TEACHERS AND EXAM BOARD
Office hours: For questions, contact the lecturer to agree on the time of meeting.
Exam Board
RICCARDO MINCIARDI (President)
MICHELA ROBBA
ANGELO ALESSANDRI (President Substitute)
LESSONS
TEACHING METHODS
Theoretical lectures and exercises for a number of about 50 hours on the overall. Guided lectures with Matlab.
LESSONS START
First semester.
Class schedule
All class schedules are posted on the EasyAcademy portal.
EXAMS
EXAM DESCRIPTION
Oral examination to agree with the lecturer.
ASSESSMENT METHODS
Verification of the capability to formulare and solve problems of optimization and optimal control.
Exam schedule
| Date | Time | Location | Type | Notes |
|---|---|---|---|---|
| 18/02/2021 | 01:00 | GENOVA | Esame su appuntamento | |
| 18/02/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 17/09/2021 | 01:00 | GENOVA | Esame su appuntamento |
FURTHER INFORMATION
For questions, contact the lecturer to agree on the time of meeting.