450-4017/02 – Knowledge Based Control Systems (ZSR)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantorIng. Zdeněk Slanina, Ph.D.Subject version guarantorIng. Zdeněk Slanina, Ph.D.
Study levelundergraduate or graduate
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
SLA77 Ing. Zdeněk Slanina, Ph.D.
SRO37 Ing. Vilém Srovnal, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 2+12

Subject aims expressed by acquired skills and competences

The course is aimed on fuzzy set theory, fuzzy logic, fuzzy control theory and their application in development of knowledge based fuzzy controllers. After passing the course students have the main knowledge and skills with development, debugging and testing of fuzzy controllers in engineering.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work

Summary

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 human knowledge. Basic procedures of fuzzy mathematics and fuzzy logic are presented including the fuzzy control systems development methodology. The subject appears to be introduction to artificial intelligence methodologies and their application inengineering..

Compulsory literature:

GANG,F. Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach. CRC Press, 2010. ISBN 9781420092646 RUSSEL,S., NORVIG,P.: Artificial Intelligence, Prentice-Hall, Inc., 2003, ISBN 0-13-080302-2 MATA,F., MARICHAL,G.N., JIMNEZ,E. Fuzzy Modeling and Control: Theory and Applications. Atlantis Publishing Corporation, 2014 ISBN 9462390819

Recommended literature:

C. R. REEVES, J. E. ROW,. Genetic Algorithms: Principles and Perspectives. Kluwer Academic Publishers, New York, 2002. GRAUPE,D. Principles of Artificial Neural Netvorks. World Scientific. 2013. ISBN: 978-981-4522-73-1

Way of continuous check of knowledge in the course of semester

Verification of study: The current activity of student is done through his laboratory activities. Conditions for credit: Student can gain up to 40 (min 21) points from the laboratory excercises and individual semestral project. Passing the course: To pass the course student has to pass both of the laboratory part of the course and the final exam. The final exam consists of writing part 40 (min 10) points and oral part 20 (min 6) points. Student have to be succeed in all parts of examination.

E-learning

Další požadavky na studenta

There are not defined other requirements for student

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures 1. Artificial intelligence, knowledge importance, vagueness and its formalization, knowledge properties, knowledge processing, knowledge systems 2. Principles of fuzzy set theory, fuzzy sets operations, Zadeh´s extesional principle 3. Linguistic variable and its fuzzy sets reperesentation 4. Principles of fuzzy logic, fuzzy-logical operations 5. Linguistic model aproximation using fuzzy function, conditional IF-THEN rules 6. Principles of fuzzy modelling, Mamdani fuzzy models 7. Inference engines, Zadeh´s extrapolation principle 8. Takagi-Sugeno fuzzy models and their properties 9. Basic structure and paramemers of fuzzy controllers FLC, types of fuzzy controllers 10. Types of fuzzy controllers and their control rules 11. Operations of fuzzification and deffuzification 12. Fuzzy control systems stability investigation Fuzzy controllers design 14. Fuzzy state controllers Laboratory works 1. Fuzzy control using microprocessor NXP iMX6 2. Fuzzy control using PLC Siemens, B&R Computer works 1. Principles of programme system Matlab, FuzzTool Box (FTB), programme tool Simulink 2. Fuzzy sets - editing, parameters of fuzzy sets approximation, fuzzy sets operations (FTB), examples - Zadeh´s extesional principle 3. Linguistic values of linguistic variables editing (FTB), teaching programme Fuzzy Logic Motorola 4. Effect of type of fuzzy logic function on results of fuzzy sets operations (FTB) 5. Example of linguistic model approximation using a fuzzy function (FTB) 6. Mamdani models editing (FTB) 7. Examples of Zadeh´s intrpolation principle utilization (FTB) 8. Takagi-Sugeno model editing, non-linear function approximation (FTB) 9. Takagi-Sugeno model identification using ANFIS procedure (FTB) 10. Fuzzy controller Mamdani, teaching programme FL Mortorola 11. Fuzzy controller Mamdani, design and debugging 12. Fuzzy controller Takagi-Sugeno, design and debugging Semestral project Design a fuzzy controller Mamdani with sheduled system using programme environment Matlab and Simulink !

Conditions for subject completion

Full-time form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  21
        Examination Examination 60 (60) 30
                Written exam Written examination 40  10
                Oral exam Oral examination 20  6
Mandatory attendence parzicipation:

Show history
Combined form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  21
        Examination Examination 60 (60) 30
                Written exam Written examination 40  10
                Oral exam Oral examination 20  6
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2649) Electrical Engineering (2612T041) Control and Information Systems P English Ostrava 2 Choice-compulsory study plan
2019/2020 (N2649) Electrical Engineering (2612T041) Control and Information Systems K English Ostrava 2 Choice-compulsory study plan
2019/2020 (N0714A150002) Control and Information Systems P English Ostrava 1 Optional study plan
2018/2019 (N2649) Electrical Engineering (2612T041) Control and Information Systems P English Ostrava 2 Choice-compulsory study plan
2018/2019 (N2649) Electrical Engineering (2612T041) Control and Information Systems K English Ostrava 2 Choice-compulsory study plan
2017/2018 (N2649) Electrical Engineering (2612T041) Control and Information Systems P English Ostrava 2 Choice-compulsory study plan
2017/2018 (N2649) Electrical Engineering (2612T041) Control and Information Systems K English Ostrava 2 Choice-compulsory study plan
2016/2017 (N2649) Electrical Engineering (2612T041) Control and Information Systems P English Ostrava 2 Choice-compulsory study plan
2016/2017 (N2649) Electrical Engineering (2612T041) Control and Information Systems K English Ostrava 2 Choice-compulsory study plan
2015/2016 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P English Ostrava 2 Choice-compulsory study plan
2015/2016 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K English Ostrava 2 Choice-compulsory study plan
2015/2016 (N2649) Electrical Engineering (2612T041) Control and Information Systems P English Ostrava 2 Choice-compulsory study plan
2015/2016 (N2649) Electrical Engineering (2612T041) Control and Information Systems K English Ostrava 2 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
V - ECTS - mgr. 2018/2019 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2017/2018 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2016/2017 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2015/2016 Full-time English Optional 401 - Study Office stu. block