352-0546/02 – Systems Identification and Simulation (IaSS)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits5
Subject guarantorprof. Ing. Petr Noskievič, CSc.Subject version guarantorprof. Ing. Petr Noskievič, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFS, USPIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOS52 prof. Ing. Petr Noskievič, CSc.
SKU52 Ing. Jolana Škutová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2
Part-time Credit and Examination 12+4

Subject aims expressed by acquired skills and competences

The practical use of the experimental identification methods, realization of the mathematical models using the simulation programmes and numerical methods implemented in the simulation programmes are the main learning outcomes of the subject. The student is able to design the identification experiment and make a decision about the use of the identification methods based on the use of the deterministic or stochastic input signal, is able to choice a method for the evaluation of the response and parameterization of the used model. Student is able to use the methods for the identification of the discrete models of the systems. The student is able to create the models in the simulation programmes, set up the simulation conditions and parameters, knows the basic numerical methods and their use by the simulation of the dynamic systems. He is able to analyse the dynamics of the identified systems using the mathematical models.

Teaching methods

Project work


The subject System Identification and Simulation is focused on the experimental identification of the dynamic systems and on the realization of the mathematical models of the dynamic systems using computer simulation. The methods for the model parameterization using different testing signals – step input, ramp signal, general input signal, random signal are explained after the summary of the used basic forms of the mathematical models in the time and frequency domain, continues and discrete models. The second part of the of subject is focused on the numerical methods used by the realization of the mathematical models on the digital computers. The curve fitting methods – approximation, interpolation, next numerical integration, numerical derivation and numerical methods for the solution of the differential equation – initial value problems, including of the conditions for their use and numerical stability of the obtained solution.

Compulsory literature:

LJUNG,L. & GLAD,T. Modeling of Dynamic Systems.Prentice Hall,Inc.Engelwood Cliffs, New Persey 07632. ISBN 0-13-597097-0. CLOSE, M.,Ch. & FREDERICK, K. Modeling and Analysis of Dynamic Systems. John Wiley & Sons, Inc. New York. 1995. ISBN 0-471-125172-2.

Recommended literature:

Soederstroem,T.-Stoica, P.: System identification Prentice Hall Int. ISBN 0-13-127606-9. NOSKIEVIČ, P.: Modelling and Simulation of Mechatronic Systems using MATLAB-Simulink. Studijní texty v angličtině, Fakulta strojní, VŠB-TU Ostrava, 2013, 85 stran. ISBN 978-80-248-3250-3

Way of continuous check of knowledge in the course of semester

Active work at the excercises. Projects.


Other requirements

Individuální práce studentů: Program č. 1. Parametrizace přechodových (resp. frekvenčních) charakteristik mechatronických systémů. Program č. 2. Odhad parametrů modelu systému. Program č. 3. Simulační model systému s komplexní strukturou. Odevzdání zpracovaných programů a obhajoba použitého řešení


Subject codeAbbreviationTitleRequirement
352-0329 MaSMS Modelling and Simulation of Mechatronic Systems Recommended


Subject has no co-requisities.

Subject syllabus:

1. Fundamentals of the dynamic system analysis, comparison of the analytical and experimental methods of the identification. 2. Realization of the mathematical models using the simulation programmes. Classification of the simulation programmes. 3. Experimental identification using the deterministic signals. Step response approximation. 4. Parameterization of the responses – step response, impulse response. 5. Frequency response measurement and parameterization. 6. Statistical methods of system identification. Statistic characteristic of the signals and processes. 7. System identification using the correlation methods. Stochastic form of the dynamic system – Wiener – Hopf equation. Random test signals. 8. Discrete model identification, different structures of the random signal and random process models. 9. Model parameters obtaining, least square methods. 10. Recursive identification methods, weight coefficients, exponential weight function. 11. Identification of the systems operated in the closed loop. 12. Numerical methods for solution of the differential equations and their stability. 13. A-stabil, AD-stabil methods of the numerical solution of the differential equations. 14. Numerical methods used for the modelling of the static characteristics.

Conditions for subject completion

Full-time form (validity from: 2015/2016 Summer 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 40  21
        Examination Examination 60 (60) 22
                Písemná zkouška Written examination 30  18
                Ústní zkouška Oral examination 30  6
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0714A270004) Mechatronics EMM P English Ostrava 1 Compulsory study plan
2020/2021 (N0714A270004) Mechatronics EMM P English Ostrava 1 Compulsory study plan
2019/2020 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 1 Compulsory study plan
2019/2020 (N0714A270004) Mechatronics EMM P English Ostrava 1 Compulsory study plan
2018/2019 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 1 Compulsory study plan
2017/2018 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 1 Compulsory study plan
2016/2017 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 1 Compulsory study plan
2015/2016 (N3943) Mechatronics (3906T006) Mechatronic Systems P English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner