|title ||Fuzzy Systems|
|arbic title |
|prequisites ||None |
|credit hours ||3|
|Describtion/Outcomes ||Elementary introduction to fuzzy sets. Basic operations on fuzzy sets. Fuzzy logic knowledge based versus classical models. Self Organizing Fuzzy Logic Control SOFLC. Approach of fuzzy control. The Approach of Mamdani. The approach of Takagi and Sugeno Design parameters of fuzzy controllers. Variable domains. Linguistic rules. Defuzzification process. Case studies|
|arabic Describtion/Outcomes |
|objectives ||The student should be able to: Know new approaches in design of controllers, of control systems. Principle of Fuzzy concepts. Fuzzy controllers. Usage of Fuzzy controller.|
|arabic objectives |
|ref. books ||R. Kruse, J. Gebhardt ad F. Klawonn, “Foundations of Fuzzy Systems”, J. Wiley, 1994. RR. Yager and D.P. Filey, “Essentials of Fuzzy Modeling and Control”, J. Wiley, 1994. Witold Perdryz, “Fuzzy Control and Fuzzy Systems”, J. Wiley, 1993. R. Belohlarek, "Fuzzy Relational Systems: Foundation and Principles", 2002.|
|arabic ref. books |
|arabic textbook |
|objective set |
|content set |
||Introduction to fuzzy logic fuzzy sets.
||Fuzzy relation properties and composition of fuzzy relations.
||Membership s determination.
||Fuzzy controller: preliminaries & basic construction.
||Design aspects of fuzzy controller.
||Choosing fuzzy controller inputs and outputs.
||Construction of rule bases for control.
||Fuzzy quantification of knowledge.
||Determination fired rules to use.
||Inference Engine & conversion of fuzzy into action.
||Simple design problem the inverted.
||PID fuzzy controllers and tuning them.
||Fuzzy identification of system models.
||Self-Tuning fuzzy control (Adaptive fuzzy controls).
||Fuzzy supervisory control.