638-0718/02 – Modern Control Methods (MMŘ)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits7
Subject guarantordoc. Ing. Jiří David, Ph.D.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year3Semesterwinter
Study languageCzech
Year of introduction2004/2005Year of cancellation2007/2008
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
DAV47 doc. Ing. Jiří David, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2

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

Další požadavky na studenta

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

Full-time form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 30 (30) 0
                Project Project 15  0
                Other task type Other task type 15  0
        Examination Examination 70 (70) 0
                Written examination Written examination 30  0
                Oral Oral examination 40  0
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2006/2007 (B2112) Řízení výrobních procesů (3902R007) Automation and Computer Technics in Metalurgy P Czech Ostrava 3 Compulsory study plan
2005/2006 (B2112) Řízení výrobních procesů (3902R007) Automation and Computer Technics in Metalurgy P Czech Ostrava 3 Compulsory study plan
2004/2005 (B2112) Řízení výrobních procesů (3902R007) Automation and Computer Technics in Metalurgy P Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner