System Modeling and Identification
Systemmodellering och -identifiering

FRT145F, 7.5 högskolepoäng

Gäller från och med: Autumn 2016
Beslutad av: Professor Thomas Johansson
Datum för fastställande: 2016-10-27

Allmänna uppgifter

Avdelning: Automatic Control
Kurstyp: Gemensam kurs, avancerad nivå och forskarnivå
Kursen ges även på avancerad nivå med kurskod: FRT041
Undervisningsspråk: English

Syfte

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.

Mål

Kunskap och förståelse

För godkänd kurs skall doktoranden

• be able to define basic concepts for systems with multiple inputs and outputs
• be able to translate between different multivariable system descriptions, in particular time series models, transient responses, transfer function matrices, and state-space descriptions
• be able to derive dynamical mathematical models describing relations between inputs and outputs, including disturbance models
• understand the role of the experimental conditions for the accuracy and quality of the resulting mathematical model
• be able to approximate (reduce) multivariable mathemical models according to a given approximation accuracy

Färdighet och förmåga

För godkänd kurs skall doktoranden

• be able to formulate control-oriented models of multivariable systems in the form of state-space models, time series models, transient responses, and transfer function
• be able to calculate dynamic mathematical models from experimental input and output signal measurements
• be able to validate a mathematical model in relation to experimental data using statistical analysis, model approximation, and simulation
• be able to translate control specifications to requirements on the mathematical model

Värderingsförmåga och förhållningssätt

För godkänd kurs skall doktoranden

• be able to understand relations and limitations when simplified models are used to describe a complex multivariable real system
• show ability for teamwork and group collaboration during projects

Kursinnehåll

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

Kurslitteratur

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

Kursens undervisningsformer

Undervisningsformer: Föreläsningar, laborationer, övningar

Kursens examination

Examinationsformer: Skriftlig tentamen, inlämningsuppgifter
Betygsskala: Underkänd, godkänd
Examinator: Professor emeritus Rolf Johansson

Antagningsuppgifter

Förutsatta förkunskaper: FRT010 Automatic Control, Basic Course, FMSF10 Stationary Stochastic Processes

Kurstillfällesinformation

Startdatum: 2017-08-29
Slutdatum: 2017-10-25
Kursfart: Full time

Kontaktinformation och övrigt

Kursansvarig: Rolf Johansson <rolf.johansson@control.lth.se>
Hemsida: https://www.control.lth.se/Education/EngineeringProgram/FRT041.html