638-0905/01 – Identification and Modelling (IM)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantorprof. Ing. Zora Koštialová Jančíková, CSc.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelpostgraduateRequirementOptional
YearSemesterwinter + summer
Study languageCzech
Year of introduction1999/2000Year of cancellation2012/2013
Intended for the facultiesHGF, FMTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
DAV47 doc. Ing. Jiří David, Ph.D.
VRO30 prof. Ing. Milan Vrožina, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+0
Part-time Credit and Examination 28+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

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

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 method of mathematically- physical analysises. 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: 1960/1961 Summer semester, validity until: 2011/2012 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (100) 51 3
        Examination Examination 100  51 3
        Exercises evaluation Credit 0  0 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2012/2013 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2012/2013 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2012/2013 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2012/2013 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava Choice-compulsory study plan

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Assessment of instruction

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