Identification of Technological Processes

Garant předmětu:

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 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans: