455-0100/01 – Knowledge Based Control Systems (ZSR)

Gurantor departmentDepartment of Measurement and ControlCredits4
Subject guarantorprof. Dr. Ing. Miroslav PokornýSubject version guarantorprof. Dr. Ing. Miroslav Pokorný
Study levelundergraduate or graduateRequirementChoice-compulsory
YearSemesterwinter
Study languageCzech
Year of introduction2002/2003Year of cancellation2002/2003
Intended for the facultiesFEIIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
MAT57 Ing. Martin Matušů
POK40 prof. Dr. Ing. Miroslav Pokorný
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The aim of the course is to acquaint students with fuzzy expert systems and fuzzy controllers including its design metodology After passing the course students have the main knowledge and skills with knowledge systems and their using. Students are able to develop the fuzzy oriented expert or control system. After passing the course students have the main knowledge and skills with knowledge systems and their using. Students are able to develop the fuzzy oriented expert or control system.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work

Summary

The aim of the course is to acquaint students with fuzzy expert systems and fuzzy controllers including its design metodology After passing the course students have the main knowledge and skills with knowledge systems and their using. Students are able to develop the fuzzy oriented expert or control system. The course is focused on the area of modern artificial intelligence methods application in the information and control systems. Introduces the complex systems modelling problems and linguistic describing of its behaviour using the experts knowledge. Basic procedures of fuzzy mathematics and fuzzy logic are presented including the fuzzy expert and fuzzy control systems development methodology. Next the course presents the principles of knowledge intelligent cotrol using the neural networks and genetic algorithms.

Compulsory literature:

Novák,V.: Fuzzy množiny a jejich aplikace, SNTL Praha, 1992. Pokorný,M.:Umělá inteligence v modelování a řízení, BEN Praha, 1996. Vysoký,P.: Fuzzy řízení, ČVUT Praha, 1996. Cox,E.: The Fuzzy Systems Handbook, Academic Press, Inc., 1994. Firemní materiály MOTOROLA. Goldberg,D.E.: Genetic Algorithms, Addison-Weslley Publishing, 1989 Novák,V.: Základy fuzzy modelování, BEN Praha, 2000

Recommended literature:

Studijní materiály pro studenty kombinovaného studia jsou k dispozici na adrese http://kat455.vsb.cz

Way of continuous check of knowledge in the course of semester

Verification of study: 90 points for elaboration of 3 written tests Conditions for credit: 10 points for elaboration of individual semestral project (expert system or fuzzy controller)

E-learning

Další požadavky na studenta

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Complex system modelling principles using numerical and knowledge approaches. Fuzzy sets theory Uncertainty and its fuzzy representation Multivalues fuzzy linguistic logic Fuzzy linguistic models, Mamdani and Takagi-Sugeno fuzzy rules oriented models Aproximative reasoning, inference algorithms Fuzzy expert systems, design methodology, application Rule base cognitive analysis Fuzzy control, design methodology, application Fuzzy controller properties and stability Intelligent knowledge controllers, architecture and properties Neural networks in control systems Genetic algorithms in control systems Laboratories: Introduction to laboratory praxis Motion system analysis of mobile robot model VIMR Orientation system analysis of mobile robot model VIMR Motion trajectory definition and realisation in VIMR control system Communication in control system VIMR On board microprocessor VIMR control system Hierarchical control robot system VIMR using PC and HC12 Projects: Individual semestral project (expert system or fuzzy controller) Computer labs: Fuzzy procedures application using MATLAB Fuzzy linguistic models design using LMPS and NEFRIT Zadeh´s interpolation method of approximative reassoning Design of expert systems using LMPS programme system Fuzzy control mobile robot VIMR Fuzzy control development using programme system FREG Fuzzy microprocessor HC121, control system of mobile robot VIMR Neural and fuzzy neural networks development using programme systems NEUREX and FUZNET

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 (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
2002/2003 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2612T018) Electronics and Communication Technology P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (10) Elektrické stroje a přístroje P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (20) Elektrické pohony a výkonová elektronika P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (3902T023) Computer Science P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (3907T001) Electrical Power Engineering P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava 5 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner