Engelska Studiehandboken kurser

Computer Science, Electrical Engineering

SMR012 Identification 6.0 ECTS credits

DENNA SIDA FINNS OCKSÅ PÅ SVENSKA

General information about studying at Luleå university

TIMEPERIOD: Lp I

LANGUAGE: English/Swedish

EXAMINER
A Medvedev Univ lekt

PREREQUISITES
SMS020 and SMS021 Signal and Systems I and II

COURSE AIM
The course is aimed to give a working knowledge of the mathematical methods for modeling of systems from experimental data.

CONTENTS
Introduction. Stochastic background. Nonparametric methods in identification. Least--squares, static models, BLUE estimators. Input signals, persistent excitation Least-squares, dynamic methods. Prediction error methods, dynamic models. Instrumental variable methods. Recursive identification methods. Closed loop systems identification. Model validation. LABS 1. Least-squares method 2. Instrumental variabel method 3. Method's benchmark 4. Recursive identification

TEACHING
The teaching consists of lectures, and four compulsory laboratory excercises.

EXAMINATION

COURSE GRADE SCALE: U, 3, 4, 5

ITEMS/CREDITS


Laboratory work                                             	2.2ECTS
Written exam                                                	3.7ECTS

COURSE LITTERATURE
Söderström, Stoica: System Identification. Prentice Hall 1989 Laboration-PM.

REMARKS

Last modified : 97-06-05 by Jan Lindberg
Further information: Alexander Medvedev, Tel. 0920-91302

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