First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
AUTOMATION ENGINEERING
Course unit
SYSTEM IDENTIFICATION
INP4063810, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
AUTOMATION ENGINEERING
IN0527, Degree course structure A.Y. 2008/09, A.Y. 2017/18
N0
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination SYSTEM IDENTIFICATION
Department of reference Department of Information Engineering
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2017-IN0527-000ZZ-2016-INP4063810-N0
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge MATTIA ZORZI ING-INF/04

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/04 Automatics 9.0

Mode of delivery (when and how)
Period First semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 25/09/2017
End of activities 19/01/2018

Examination board
Board From To Members of the board
2 A.A. 2016/2017 01/10/2016 15/03/2018 ZORZI MATTIA (Presidente)
CENEDESE ANGELO (Membro Effettivo)
BEGHI ALESSANDRO (Supplente)
BISIACCO MAURO (Supplente)
CARLI RUGGERO (Supplente)
CHIUSO ALESSANDRO (Supplente)
FERRANTE AUGUSTO (Supplente)
PILLONETTO GIANLUIGI (Supplente)
PINZONI STEFANO (Supplente)
SCHENATO LUCA (Supplente)
TICOZZI FRANCESCO (Supplente)
VALCHER MARIA ELENA (Supplente)
ZAMPIERI SANDRO (Supplente)

Syllabus
Course unit contents: 1. Fisherian and Bayesian parameter estimation
2. Dynamic models for the identification
3. Prediction error methods for parametric identification of dynamic systems
4. Prediction error kernel-based methods for non-parametric identification of dynamic systems
5. Identification of time-varying dynamic systems
Textbooks (and optional supplementary readings)