Course Catalog 2009-2010 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Matti Vilkko

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Periods 1 1 - 2

Requirements

A Computer Examination with Matlab and System Identification Toolbox.

Principles and baselines related to teaching and learning

-

Learning outcomes

The objective is to provide basic theoretical and practical knowledge to student so that he can understand and apply the most important system identification methods.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Models and systems - impulse responce - frequency responce - spectrum - linear time invariant systems, model structures - noise model	Periodogram, windowing	Blackman-Tukey, Hamming, etc.
2.	Methods: - non-parametric time and frequency domain methods - parameter estimation methods, residual, LR, LSE - parameter computation, iterative methods - recursive estimation	Prewhitening, ETFE, RLS algorithm	QR decomposition, Newton, Quasi-Newton, LM, gradient computation, matrix inversion lemma
3.	Application of identification: - experiment desing - data preprocessing - identification objective - model structure selection - validation	identification of feedback system	Integrator in target system
4.	Identification tool usage: - process of identification - Matlab System Identification Toolbox - model comparison in time and frequency domain, residual analysis	detection of delay in the system

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Book	System Identification, Theory for the User	Lennart Ljung	0-13-656695-2		ISBN 0-13-656695-2		Suomi

Prerequisites

Correspondence of content

Additional information

The course is accepted as a post craduate course if the grade is at least 3. Recommended for IV-V year. The cource will be implemented every second year. The next implementation will be in academic year 2011-2012.

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1		Lectures Excercises	Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 %

Last modified	25.01.2010
Modifier	Matti Vilkko