638-0091/02 – Modern Control Methods (MMŘ)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits5
Subject guarantordoc. Ing. Jiří David, Ph.D.Subject version guarantordoc. Ing. Jiří David, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year5Semesterwinter
Study languageCzech
Year of introduction1999/2000Year of cancellation2008/2009
Intended for the facultiesFMTIntended for study typesMaster
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 4+2
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
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:

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. Control as a informative incidence, activity and process. 2. Determination theory modelling and artificial intelligence. 3. Qualitative models. 4. Semiqualitative models. 5. Fuzzy model, introduction to fuzzy models. 6. Fuzzy multiple theory. 7. More value logic and language model. 8. Fuzzy systems 9.Strategy fuzzification, strategy defuzzification. 10. Expert systems, definition and architecture expert systems. 11. Knowledge base, inferential mechanism, interpretation answer expert systems. 12. Expert systems and control. 13. Introduction to the neuronal systems. 14. Neuronal networks. 15. Genetic algorithms.

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 pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (100) 51 3
        Exercises evaluation Credit 20 (20) 0 3
                Project Project 5  0 3
                Other task type Other task type 15  0 3
        Examination Examination 80 (80) 0 3
                Written examination Written examination 30  0 3
                Oral Oral examination 50  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 yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2008/2009 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2007/2008 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2007/2008 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2006/2007 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2006/2007 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2005/2006 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2005/2006 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2004/2005 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2004/2005 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2003/2004 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2003/2004 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2002/2003 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2002/2003 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2001/2002 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2001/2002 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan
2000/2001 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy K Czech Ostrava 6 Compulsory study plan
2000/2001 (M2109) Metallurgical Engineering (3902T007) Automation and Computer Techniques in Metalurgy P Czech Ostrava 5 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.