545-0919/01 – Identification and Modelling (IAM)

Gurantor department	Department of Economics and Control Systems	Credits	0
Subject guarantor	prof. Ing. Petr Noskievič, CSc.	Subject version guarantor	prof. Ing. Alois Burý, CSc.
Study level	postgraduate	Requirement	Choice-compulsory
Year	1	Semester	winter + summer
		Study language	Czech
Year of introduction	2000/2001	Year of cancellation	2007/2008
Intended for the faculties		Intended for study types	Doctoral

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Credit and Examination	0+0
Part-time	Credit and Examination	0+0

Subject aims expressed by acquired skills and competences

The aim of the subject is to meet students Automatization of Technological Processes Ph.D. study, with the methods of implementing computer models and simulation of the dynamic continuing systems.

Teaching methods

Lectures
Individual consultations
Project work

Summary

The course introduces to the problems of creating dynamic mathematical models and with implementation of their computer models. It deals with the ways and methods of mathematical model development of continuos dynamic systems. It presents approximation methods both in time, as well as in frequency. Byond determinictic methods provides approaches of statistical dynamics of systems.

Compulsory literature:

L. G.BIRTA and G. ARBEZ: Modeling and Simulation, Springer London, 2007.

Recommended literature:

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Way of continuous check of knowledge in the course of semester

Individually check during the processing and consultancy of the project individually determined.

E-learning

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Systems and their mathematical models, differential - algebraic equation 2. Modeling, analytical identifikation of fundamental dynamic processes, priciples of mathematical modelling 3. Methods of dynamic systems identification 4. Input - output signals, step function response 5. Non - parameters methods 6. Deterministic time and frequency methods, experimental identification 7. Stochastic and correlation methods of experimental identification 8. Verification and test experiment

Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester, validity until: 2012/2013 Summer semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Exercises evaluation and Examination	Credit and Examination	100 (145)	51	3
Examination	Examination	100	0	3
Exercises evaluation	Credit	45	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 year	Programme	Branch/spec.	Form	Study language	Tut. centre	Year	Type of duty
2005/2006	(P2301) Mechanical Engineering	(3902V010) Automation of Technological Processes	P	Czech	Ostrava		Choice-compulsory	study plan
2005/2006	(P2301) Mechanical Engineering	(3902V010) Automation of Technological Processes	K	Czech	Ostrava		Choice-compulsory	study plan
2004/2005	(P2301) Mechanical Engineering	(3902V010) Automation of Technological Processes	P	Czech	Ostrava	1	Choice-compulsory	study plan
2001/2002	(P2301) Mechanical Engineering	(3902V010) Automation of Technological Processes	P	Czech	Ostrava	1	Choice-compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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