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SMR012 Identification 6.0 ECTS credits | |
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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 | 2.25ECTS |
| Written exam | 3.75ECTS |
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COURSE LITTERATURE Söderström, Stoica: System Identification. Prentice Hall 1989 Laboration-PM. REMARKS Further information: Alexander Medvedev, Tel. 0920-91302 |
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