638-2012/02 – System Identification (IS)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits5
Subject guarantordoc. Ing. Jiří David, Ph.D.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year3Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
DAV47 doc. Ing. Jiří David, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2
Combined Credit and Examination 16+0

Subject aims expressed by acquired skills and competences

Student will be able to formulate the basic methods of creation of mathematical description of dynamic systems for simulation purposes and synthesis of their control. Student will get an overview of the basic methods of mathematic-physical analysis and of experimental identification methods. Student will be able to analyze real dynamic systems a for their mathematical description use appropriate identification methods.

Teaching methods

Lectures
Tutorials

Summary

Course deals with methods of mathematical description of controlled systems creation, using mathematical - physical analysis and experimental identification methods. As next in the course deterministic methods of identification, identification with random progression of input parameters of systems being identified and methods of impulsive and continuous adaptive identification are explained.

Compulsory literature:

KEESMAN, K. J. System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing). London: Springer/Verlag London Limited, 2011. ISBN: 978-0857295217. ISERMANN, R and M. MÜNCHHOF. Identification of Dynamic Systems: An Introduction with Applications. Berlin: Springer/Verlag Berlin Heidelberg, 2011. ISBN: 978-3540788782. LJUNG, L. System Identification: Theory for the User. New Jersey: Prentice hall, 1999. ISBN: 978-0136566953.

Recommended literature:

ISERMANN, R. and M. MÜNCHHOF.:Identification of Dynamical Systems: An Introduction with Applications. Springer, 2011. ISBN 9783540788799. SCHOUKENS, J.,‎ R. PINTELON and Y. ROLAIN. Mastering System Identification in 100 Exercises. New Jersey: Wiley-IEEE Press, 2012. ISBN: 978-0470936986.

Way of continuous check of knowledge in the course of semester

Písemný test a ústní zkoušení.

E-learning

Další požadavky na studenta

Getting to know the practical identification of the industrial system.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Identification in the process of knowledge and in the process of control. 2. Precarious and aposteriori information about identify system. 3. Classification of mathematical model. 4. Identification of structure and of parameters systems. 5. Identification methods. 6. Identification of method of mathematically- physical analysises. 7. Experimental method identification. 8. Deterministic method identification. 9. Formulation of mathematical description of continuous linear systems. 10.Determination of static and of dynamic feature systems, analysis of transient characteristic. 11. Identification method of gradual integration. 12.Statistical method identification. 13.Description of systems of difference equation, Z transformation 14.Stochastic process, statistical analysis of measured data.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 35  25
        Examination Examination 65  26
Mandatory attendence parzicipation: Testing

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B0488A270001) Quality Management and Control of Industrial Systems (S03) Computer Control Systems in Industry P Czech Ostrava 3 Compulsory study plan
2019/2020 (B0488A270001) Quality Management and Control of Industrial Systems (S03) Computer Control Systems in Industry K Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner