352-0904/03 – System Identification and Modeling (IaM)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits10
Subject guarantorprof. Ing. Petr Noskievič, CSc.Subject version guarantorprof. Ing. Petr Noskievič, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2013/2014Year of cancellation
Intended for the facultiesFS, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOS52 prof. Ing. Petr Noskievič, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 25+0
Combined Examination 25+0

Subject aims expressed by acquired skills and competences

The PhD student is experienced in system identification methods and mathematical - physical modelling and is able to use the methods by the solving of the topic of the dissertation. He/she is able to design the identification experiment, evaluate the results and realize the simulation model using the simulation programme. He/she is able to run the simulation experiments, to choose suitable numerical method and set up the conditions of the numerical solution. The professional skills allow him/her to verify the results of the simulation experiments.

Teaching methods

Individual consultations
Project work

Summary

Systems and models, types of mathematical models, differential equations, state space description, description in frequency domain. Modeling, analytical methods of system identification, principles of physical modeling. Methods of system identification, black box approach. Input, output signals, step response, frequency analysis. Nonparametric methods. Parameter estimation of dynamic models. Stochastic approach, correlation methods. Identification experiment, model validation and model simulation and use.

Compulsory literature:

Keesman, K.J.: System Identification. Springer. 2011. ISBN 978-0-85729-522-4. Isermann, R., M. Muenchhof: Identification of Dynamic Systems. Springer, 2011. ISBN 978-3-540-78878-2. Söderström, T. – Stoica, P.: System Identification. Prentice Hall International (UK) Ltd., 1989. ISBN 0-13-881236-5. Frederick, D.K.- Charles M.C.: Modeling and Analysis of Dynamic Systems. John Wiley & Sons.Inc. 1995. ISBN 0 471 12517 2.

Recommended literature:

Ljung,L. & Glad,T. Modeling of Dynamic Systems.Prentice Hall,Inc.Engelwood Cliffs, New Persey 07632. ISBN 0-13-597097-0. Keesman, K.J.: System Identification. Springer. 2011. ISBN 978-0-85729-522-4.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Project Identification and Modelling

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Identification and Modelling

Conditions for subject completion

Combined 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 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes P English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes P English Ostrava Choice-compulsory study plan
2018/2019 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes K English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes P English Ostrava Choice-compulsory study plan
2017/2018 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes K English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes P English Ostrava Choice-compulsory study plan
2016/2017 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes K English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes P English Ostrava Choice-compulsory study plan
2015/2016 (P2346) Mechanical Engineering (3902V056) Control of Machines and Processes K English Ostrava Choice-compulsory study plan

Occurrence in special blocks

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