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

T. Kailath, Linear Systems, Paperback, Prentice Hall, 2016.

D. Bertsekas, Nonlinear Programing, Athena Scientific, 1999.

TEACHERS AND EXAM BOARD

Exam Board

ANGELO ALESSANDRI (President)

RICCARDO MINCIARDI (President)

DAVIDE GIGLIO

ROBERTO SACILE

LESSONS

LESSONS START

First semester.

Class schedule

The timetable for this course is available here: Portale EasyAcademy

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

FURTHER INFORMATION

For questions, contact the lecturer to agree on the time of meeting.