AIMS AND CONTENT

LEARNING OUTCOMES

Students will develop practical applications related to the course "System Identification"

AIMS AND LEARNING OUTCOMES

 Help students gain hands-on experience in certain theoretical concepts covered in the course "System Identification". 

TEACHING METHODS

PC-assisted demonstrations of certain theoretical concepts covered in the course "System Identification"

SYLLABUS/CONTENT

PC-assisted demonstrations of certain theoretical concepts covered in the course "System Identification"

RECOMMENDED READING/BIBLIOGRAPHY

1. L. Ljung, “System Identification: Theory for the User”, Prentice Hall

2. Y. Bar-Shalom, X. R. Li, T. Kirubarajan, “Estimation with Applications to Tracking and Navigation”, John Wiley & Sons

Further readings will be given by lecturer.

TEACHERS AND EXAM BOARD

Exam Board

MARCO BAGLIETTO (President)

GIOVANNI INDIVERI

GIORGIO CANNATA (President Substitute)

LESSONS

EXAMS

EXAM DESCRIPTION

PC-based modelling and simulation, for example using MATLAB.

ASSESSMENT METHODS

Evaluation based on the ability of students to implement the given PC-based modelling and simulation problems

Exam schedule