638-0905/02 – 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
YearSemesterwinter + summer
Study languageCzech
Year of introduction2013/2014Year 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
Combined 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

Další požadavky na studenta

Elaboration of seminar work on a given topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

• Introduction to systems modelling, forms of description of dynamic system. • Basic types of modelling (physical, mathematical, cybernetic). • Identification in the process of knowledge and in the process of control. Precarious and aposteriori information about identify system. • Classification of mathematical model. Identification of structure and of parameters systems. • Identification methods. Identification of mathematical - physical analysis method. • Experimental method identification. Deterministic method identification. • Systems modelling by kind of similarities (mathematical, physical, mathematically- physical, cybernetic). Principle and common of description equational and of block oriented simulation programmes. • Classification models according to different standpoints. Mathematical simulation, analyst and experimental method recognition of mathematical system description. • Unconventional simulation - artificial intelligence (fuzzy model, expert model, model neuronal nets, genetic algorithm). • Model neuronal nets. Usage neuronal nets for simulation choice of technological process.

Conditions for subject completion

Full-time form (validity from: 2013/2014 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.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

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