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 |
The Mathematics of Fuzzy Systems and Control | 19 |
Fuzzy Systems and Their Properties | 89 |
Copyright | |
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Common terms and phrases
a-cuts adaptation law adaptive fuzzy control applications of fuzzy approach approximate basic cement kiln center average defuzzifier Chapter choose closed-loop system cluster compute converges defined designed fuzzy system Dienes-Rescher direct adaptive fuzzy dynamic TSK fuzzy equation example Figure fuzzy complement fuzzy control system fuzzy IF-THEN rules fuzzy inference engine fuzzy logic fuzzy numbers fuzzy propositions fuzzy relation fuzzy rule base fuzzy sets fuzzy theory Gaussian hypothetical syllogism IEEE Trans input input-output pairs intuitive inverted pendulum Lemma linear programming linear programming problem linguistic variables Lukasiewicz mathematical maximum defuzzifier membership functions membership value method modus ponens modus tollens N₁ nonlinear system number of rules obtain operators output phase plane PID controller product inference engine recursive least squares shown in Fig singleton fuzzifier sliding control stability Step Sugeno Summary and Further supervisory controller t-norm Theorem trajectory TSK fuzzy system U₁ vector Zadeh