A Course in Fuzzy Systems and ControlProvides a comprehensive, self-tutorial course in fuzzy logic and its increasing role in control theory.KEY TOPICS: The book answers key questions about fuzzy systems and fuzzy control. It introduces basic concepts such as fuzzy sets, fuzzy union, fuzzy intersection and fuzzy complement. Learn about fuzzy relations, approximate reasoning, fuzzy rule bases, fuzzy inference engines, and several methods for designing fuzzy systems.MARKET: For professional engineers and students applying the principles of fuzzy logic to work or study in control theory. |
Contents
Further Operations on Fuzzy Sets | 3 |
388888 | 6 |
The Mathematics of Fuzzy Systems and Control | 19 |
Copyright | |
28 other sections not shown
Common terms and phrases
according adaptive fuzzy control algorithm applications approach approximate assume average basic becomes bounded called Chapter choose closed-loop cluster combined composition compute concepts condition Consider constructed continuous converges defined definition defuzzifier denoted designed fuzzy determine dynamic equals error Example Exercise exists field Figure Finally fuzzifier fuzzy control system fuzzy IF-THEN rules fuzzy numbers fuzzy relation fuzzy set fuzzy system fuzzy theory given gives Hence human implication inference engine initial input input-output pairs intersection kiln knowledge Lemma linear linguistic logic mathematical means measure membership functions method nonlinear obtain operators optimal output parameters plant positive possibility principles problem programming projection Proof prove represented respectively satisfies solve Specifically speed stability Step Suppose t-norm Theorem true union values variables Zadeh zero