638-0905/04 – Identification and Modelling (IM)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantorprof. Ing. Zora Koštialová Jančíková, CSc.Subject version guarantorprof. Ing. Zora Koštialová Jančíková, CSc.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
JAN45 prof. Ing. Zora Koštialová Jančíková, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+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, to analyse real dynamic systems a for their mathematical description use appropriate identification methods, to formulate the basic methods of simulation models realization on the digital computer, to create mathematical models of selected real processes with aim of classic simulation programs and with artificial neural networks exploitation. Student will get an overview of the basic principles of mathematic-physical modelling, similarity and modelling and of classic and artificial intelligence methods necessary for model realization.

Teaching methods

Individual consultations
Project work

Summary

The course deals with methods of the mathematical description of systems creation for the purpose of synthesis of their control. Methods of mathematical-physical analysis and methods of experimental identification are discussed. Attention is paid to the deterministic ways of identification and to identification with the random course of the input variables of the identified systems. The conclusion of the course is devoted to the basics of stochastic modelling and to the basic statistical methods of the system identification.

Compulsory literature:

KEESMAN, K. J. System identification: an introduction. London: Springer, 2011. ISBN 978-0-85729-521-7. PINTELON R. and J. SCHOUKENS. System Identification: A Frequency Domain Approach. 2nd ed. New York: Wiley, 2012. ISBN 978-0-470-64037-1. ISERMANN, R. and M. MÜNCHHOF. Identification of dynamic systems: an introduction with applications. Berlin: Springer, c2011. ISBN 978-3-540-78878-2.

Recommended literature:

KEESMAN, K. J. System identification: an introduction. London: Springer, 2011. ISBN 978-0-85729-521-7. JUANG, Jer-Nan. Applied system identification. Englewood Cliffs: PTR Prentice Hall, c1994. ISBN 0-13-079211-X.

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Elaboration of seminar work on a given topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Identification in the knowledge and control process. 2. Methods of identification, a priori and a posteriori information about the identified system. Identification of structure and system parameters. 3. Identification by the method of mathematical-physical analysis. 4. Experimental identification methods. Deterministic and stochastic methods of identification. 5. System modelling by type of similarity (mathematical, physical, mathematical-physical, cybernetic). 6. Classification of models according to different aspects. 7. Principle and general description of equation and block-oriented simulation programs. 8. Model verification and simulation experiment. 9. Unconventional modelling - artificial intelligence (fuzzy models, expert models, models of neural networks, genetic algorithms). 10. Models of neural networks. Utilization of neural networks for selected technological processes modelling.

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

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