Identification of Technological Processes
Code | Completion | Credits | Range |
---|---|---|---|
W37OZ001 | ZK | 78P |
- 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
- 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: