Identification of Technological Processes

Course guarantor:

Milan Hofreiter

Lecturer:

Milan Hofreiter

Tutor:

Milan Hofreiter

Supervisor:

Department of Instrumentation and Control Engineering

Synopsis:

Fundamental terms and classification of identification methods

Time-invariant linear systems

Experimental identification of nonparametric models

Signal description using a frequency domain representation

Continuous and discrete models of linear time-invariant systems

Estimating parametric models from nonparametric models

Least-squares method

Numerical solutions for the least-squares estimate

Maximum likelihood method

Recursive estimation methods

Models ARMA, AR, MA, ARX, OE, ARMAX, BJ

One-step and multi-step ahead prediction of output

Closed-loop identification

Identification of technological processes in practice

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

L. Ljung: System Identification - Theory for the User, Prentice Hall PTR, 1999.

R. Pintelon, J. Schoukens: System Identification-A Frequency Domain Approach, IEEE Press, 2001

https://moodle-vyuka.cvut.cz/

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: