352-0503/02 – System Identification (IS)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits4
Subject guarantorprof. Ing. Petr Noskievič, CSc.Subject version guarantorprof. Ing. Petr Noskievič, CSc.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2004/2005Year of cancellation
Intended for the facultiesFSIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
KON21 Ing. Petr Koňařík, Ph.D.
NOS52 prof. Ing. Petr Noskievič, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 10+4

Subject aims expressed by acquired skills and competences

Student is able to create a mathematical model of the real system different physical structure. He/she is able to assess the advantages of the analytical and experimental identification methods and to decide about their use. Student is able to sub-divide the system into the subsystems and design their identification. The created mathematical model is able to realize using the simulation programme.

Teaching methods

Lectures
Tutorials
Experimental work in labs
Project work
Other activities

Summary

The content of this subject are the analytical and experimental methods of the creating of the mathematical model of the dynamic system. The lectures are focused on the principles of the mathematical-physical modelling of the mechanical, electrical, hydraulic, pneumatic and thermal systems. In the frame of the experimental methods the methods based on the use of deterministic and random signals are taught. The methods for the evaluation of the transfer functions, impulse response and Bode plots are explained, next the stochastic approach for the system identification and identification of the discrete models in form ARMAX are introduced.

Compulsory literature:

CLOSE, M. CH., FREDERIK, D. K. Modeling and Analysis of Dynamic Systemns. N.Y.: John Wiley & Sons.Inc, 1995. ISBN 0 471 12517 2. LJUNG,L., TORKEL,G. Modeling of dynamicc Systems. PTR Prentice Hall Inc. , 1994. ISBN 0-13-597097-0.

Recommended literature:

Way of continuous check of knowledge in the course of semester

Solving of the tasks at the exercises, two projects, defending of the individual solved tasks, evaluation of the activity.

E-learning

Další požadavky na studenta

Solving of the tasks at the exercises, two projects, defending of the individual solved tasks, evaluation of the activity.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Modelling, mathematical and simulation models, physical models, their application. 2. Basic forms of the mathematical models of the dynamic systems, methods of their obtaining, introduction of the analytical and experimental system identification. 3. Simulation programmes – classification, use and implemented numerical methods. 4. Modelling of the mechanical subsystems of the mechatronic systems. 5. Modelling of the electrical subsystems of the mechatronic systems. 6. Modelling of the hydraulic systems, derivation and realization of the mathematical models. 7. Modelling of the thermal systems. 8. Experimental identification using the deterministic signals. Step response approximation. Parameterization of the responses – step response, impulse response. 9. Frequency response measurement and parameterization. 10. Statistical methods of system identification. Statistic characteristic of the signals and processes. 11. System identification using the correlation methods. Stochastic form of the dynamic system – Wiener – Hopf equation. Random test signals. 12. Discrete model identification, different structures of the random signal and random process models. Model parameters obtaining, least square methods. 13. Recursive identification methods, weight coefficients, exponential weight function. 14. Identification of the systems operated in the closed loop.

Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester, validity until: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (145) 51
        Examination Examination 100  0
        Exercises evaluation Credit 45  0
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2009/2010 (N2301) Mechanical Engineering (2301T013) Robotics P Czech Ostrava 2 Choice-compulsory study plan
2008/2009 (N2301) Mechanical Engineering (2301T013) Robotics P Czech Ostrava 2 Choice-compulsory study plan
2007/2008 (N2301) Mechanical Engineering (2301T032) Production Systems with Industrial Robots and Manipulators P Czech Ostrava 2 Choice-compulsory study plan
2007/2008 (N2301) Mechanical Engineering (2301T013) Robotics P Czech Ostrava 2 Choice-compulsory study plan
2006/2007 (N2301) Mechanical Engineering (2301T032) Production Systems with Industrial Robots and Manipulators P Czech Ostrava 2 Choice-compulsory study plan
2005/2006 (N2301) Mechanical Engineering (2301T032) Production Systems with Industrial Robots and Manipulators P Czech Ostrava 2 Choice-compulsory study plan
2004/2005 (N2301) Mechanical Engineering (2301T032) Production Systems with Industrial Robots and Manipulators P Czech Ostrava 2 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner