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 | |
29 other sections not shown
Common terms and phrases
a-cuts adaptation law adaptive fuzzy control approach approximate approximation error basic cement kiln center average defuzzifier Chapter choose closed-loop system cluster compute converges defined definition denoted design the fuzzy designed fuzzy system determine direct adaptive fuzzy dynamic TSK fuzzy Example Figure fuzzy c-means algorithm fuzzy complement fuzzy control system fuzzy IF-THEN rules fuzzy inference engine fuzzy logic fuzzy numbers fuzzy propositions fuzzy rule base fuzzy sets fuzzy theory hierarchical fuzzy system inference engine input input-output pairs inverted pendulum Lemma linear programming linear programming problem linguistic variables Lyapunov Lyapunov Stability mathematical membership functions membership value method N₁ nonlinear system number of rules obtain operators output phase plane PID controller plant product inference engine recursive least squares shown in Fig sliding control stable Step Summary and Further supervisory controller t-norm Theorem trajectory TSK fuzzy system U₁ vector Zadeh zero