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Fuzzy Logic Tutorial

PART I - Introduction to Fuzzy Logic

• INTRODUCTION
• WHERE DID FUZZY LOGIC COME FROM?
• WHAT IS FUZZY LOGIC?
• HOW IS FL DIFFERENT FROM CONVENTIONAL CONTROL METHODS?
• HOW DOES FL WORK?
• SUMMARY
• REFERENCES

PART II - Why Use Fuzzy Logic

• INTRODUCTION
• WHY USE FL?
• HOW IS FL USED?
• LINGUISTIC VARIABLES
• SUMMARY
• REFERENCES

PART III - The Rule Matrix

• INTRODUCTION
• THE RULE MATRIX
• STARTING THE PROCESS
• WHAT IS BEING CONTROLLED AND HOW
• DEFINITIONS
• SYSTEM OPERATING RULES
• SUMMARY
• REFERENCES

PART IV - Membership Functions

• INTRODUCTION
• MEMBERSHIP FUNCTIONS
• ERROR & ERROR-DOT FUNCTION MEMBERSHIP
• SUMMARY
• REFERENCES

PART V - Putting It All Together

• INTRODUCTION
• PUTTING IT ALL TOGETHER
• ANTECEDENT & CONSEQUENT BLOCKS
• SUMMARY
• REFERENCES

PART VI - Conclusion

• INTRODUCTION
• INFERENCING
• DEFUZZIFICATION - GETTING BACK TO CRISP NUMBERS
• A "FUZZY CENTROID" ALGORITHM
• TUNING AND SYSTEM ENHANCEMENT
• SUMMARY
• CONCLUSION
• REFERENCES

A Set of Sample Cases

• EXAMPLE CASE 1 - ERROR= -1.0F
• EXAMPLE CASE 2 - ERROR = +1.25F
• EXAMPLE CASE 3 - ERROR = 0.0F
• EXAMPLE CASE 4 - ERROR = +0.5F
• EXAMPLE CASE 5 - ERROR = +1.0F

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