BEEE22
FUZZY SYSTEMS
OBJECTIVE:To impart a knowledge of fundementals of fuzzy systems and their applications to Electric systems.
1.INTRODUCTION
Different faces of imprecision - inexactness,Ambiguity,Undecidebility,Fuzzyness and certainity,Fuzzy sets and crisp sets,Probability and fuzzy logic,Fuzzy control and knowledge based systems.
2.FUZZY SETS AND OPERATIONS
Impressive concepts,Fuzzyness and imprecision,Properties of fuzzy sets,Fuzzy rpresentation ,Conventional set operations, Intersection of Fuzzy sets,Union of fuzzy sets,the complement of fuzzy sets.
3.FUZZY REASONING
Linguistic variables,Fuzzy propositions, Fuzzy compositional rules of inference-the-Min-Max rules implications and fuzzy additive rules of implication, Methods of decompositions and defuzzyfication-composite moments,composite maximum average of maximum values and centre of maximums.
4.METHODOLOGY OF FUZZY SYSTEMS
Direct and Indirect methods with single and multiple experts,Construction from sample data-Least square method,adaptive fuzzy controllers-membership function tuning using gradient decent.
5.APPLICATIONS
Fuzzy controllers-a fuzzy steam turbine controller,DC motor speed control.Fuzzy decisions making ,neuro fuzzy systems ,fuzzy genetic algorithms.