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.

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.

Exam Board

RICCARDO MINCIARDI (President)

MICHELA ROBBA

ANGELO ALESSANDRI (President Substitute)

Teaching methods

Theoretical lectures and exercises for a number of about 50 hours on the overall. Guided lectures with Matlab.

LESSONS START

First semester.

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

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.