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 !
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 !