638-0718/01 – Modern Control Methods (MMŘ)

Gurantor department	Department of Automation and Computing in Industry	Credits	8
Subject guarantor	doc. Ing. Jiří David, Ph.D.	Subject version guarantor	doc. Ing. Jiří David, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	3	Semester	winter
		Study language	Czech
Year of introduction	2004/2005	Year of cancellation	2007/2008
Intended for the faculties	FMT	Intended for study types	Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
DAV47	doc. Ing. Jiří David, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Part-time	Credit and Examination	18+0

Subject aims expressed by acquired skills and competences

Student will be able to formulate and suggest the solution with utilization the instruments artificial inteligence. Student will be able to create the knowledge base for the intelligent controller. Student will be able to analyze the problems technical application in field the engineering cybernetics with utilization the instruments artificial inteligence. Student will be able to formulate and suggest the solution problems with utilization Matlab toolboxs Fuzzy Logic, Neural Network and Genetic Algorithm

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

Subjekt put mind to the questions artificial inteligence. Students do one's homework the control models on platform the artificial inteligence (qualitative and semi-qualitative models, fuzzy models, the knowledge-based system and models of neural network).

Compulsory literature:

BOURBAKIS, N. G.: Artificial Intelligence: Methods and Applications. World Scientific, 1992. ISBN 9810210574. FORSYTH, R.: Expert systems: principles and case studies. Chapman and Hall, 1989. ISBN 0412304600.

Recommended literature:

BOURBAKIS, N. G.: Artificial intelligence and automation. World Scientific, 1998. ISBN 9810226373. GOLTINGER, H. W., WEIMANN, H. P.: Artificial Intelligence: A Tool for Industry and Management. Ellis Horwood, Michiganská univerzita, 1990. ISBN 0130483729. NILSSON, N. J.: Artificial Intelligence: a new synthesis. Morgan Kaufmann, 1998. ISBN 1558604677.

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:

1. Řízení jako informační působení, činnost a proces. 2. Vymezení teorie modelování a umělé inteligence. 3. Kvalitativní modely. 4. Semikvalitativní modely. 5. Fuzzy modely, úvod do fuzzy modelů. 6. Fuzzy množinová teorie. 7. Více hodnotová logika a jazykové modely. 8. Fuzzy systémy 9. Strategie fuzzifikace, strategie defuzzifikace. 10. Expertní systémy, definice a architektura expertního systému. 11. Znalostní báze, inferenční mechanismus, interpretace odpovědí expertních systémů. 12. Expertní systémy a řízení. 13. Úvod do neuronových systémů. 14. Neuronové sítě. 15. Genetické algoritmy

Conditions for subject completion

Part-time form (validity from: 1960/1961 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.	Spec.	Zaměření	Form	Study language	Tut. centre	Year	W	S	Type of duty
2005/2006	(B2112) Řízení výrobních procesů	(3902R007) Automation and Computer Technics in Metalurgy			K	Czech	Ostrava	3			Compulsory	study plan
2004/2005	(B2112) Řízení výrobních procesů	(3902R007) Automation and Computer Technics in Metalurgy			K	Czech	Ostrava	3			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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