Course Syllabus for

System Modeling and Identification
Systemmodellering och -identifiering

FRT145F, 7.5 credits

Valid from: Autumn 2016
Decided by: Professor Thomas Johansson
Date of establishment: 2016-10-27

General Information

Division: Automatic Control
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: FRT041
Teaching language: English


The aim of the course is to provide advanced knowledge and skills in mathematical modeling based on measurement data, including model structure selection, parameter estimation, model validation, prediction, simulation, and control.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must

Course Contents

Lectures: Transient analysis; Spectral methods; Frequency analysis; Linear regression; Interactive programs; Model parameterizations; Prediction error methods; Instrument variable methods: Real-time identification; Recursive methods; Continuous-time models, Identification in closed loop; Structure selection; Model validation; Experiment design; Model reduction; Partitioned models; 2D-methods; Nonlinear systems; Subspace methods; Laboratories: Frequency analysis, Interactive identification, Identification for control

Course Literature

Johansson, R.: System Modeling and Identification. Prentice Hall, 1993. ISBN 0134823087.

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises

Examination Details

Examination formats: Written exam, written assignments
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: FRT010 Automatic Control, Basic Course, FMSF10 Stationary Stochastic Processes

Course Occasion Information

Contact and Other Information

Course coordinator: Rolf Johansson <>
Web page:

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