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Fuzzy Controller

Fuzzy Controller

Fuzzy Controller

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<strong>Fuzzy</strong> Rule-Base<br />

‣ It is the collection of fuzzy IF-THEN rules in which the<br />

preconditions and consequences are linguistic terms<br />

‣ <strong>Fuzzy</strong> rules relate inputs to outputs (control logic)<br />

‣ Rules are formed using linguistic variables, so it is not<br />

precise<br />

‣ Output is also a linguistic value representing a fuzzy set<br />

‣ Determine degree of match of fuzzy input with rule<br />

antecedent and assign this to the rule conclusion<br />

‣ Antecedent is the intersection or union of fuzzy inputs<br />

‣ It is also called the degree of truth<br />

7<br />

<strong>Fuzzy</strong> Rule-Base<br />

Example<br />

‣ Assume two fuzzy linguistic variables Speed and Position<br />

‣ Speed (fast, 0.65 and Medium , 0.35)<br />

‣ Position (centered, 0.4 and right , 0.6)<br />

‣ Find the membership for the conclusion of the rules:<br />

If Speed = Fast and Position = Centered<br />

then Change in speed = Faster<br />

If Speed = Fast and Position = Right<br />

then Change in speed = Zero<br />

If Speed = Medium and Position = Centered<br />

then Change in speed = Faster<br />

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