DocumentCode :
1752934
Title :
About the Best Reasoning Method for Fuzzy Control
Author :
Butkiewicz, Bohdan S.
Author_Institution :
Inst. of Electron. Syst., Warsaw Univ. of Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3920
Lastpage :
3924
Abstract :
In the paper many possible reasoning methods are compared from point of view of the best control. The author proposes also new methods for fuzzy control, often better than Mamdani and Larsen methods. Fuzzy systems are described by a set of rules using connectives "and", "or", "also". Different aggregation operators, as triangular norms and mean operations, are used for interpretation of these connectives. In the paper are discussed possible interpretations for if-then rules, as different implications and other operations, in combination with defuzzification methods. Comparison of the systems with PID fuzzy controllers is presented using many different reasoning methods, and linear and nonlinear plants. Some best methods are proposed
Keywords :
fuzzy control; inference mechanisms; three-term control; PID fuzzy controllers; fuzzy control; if-then rules; mean operations; reasoning; triangular norms; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Nonlinear control systems; Optimal control; PD control; Paper technology; Three-term control; Transfer functions; Fuzzy control; reasoning methods; t-norms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713107
Filename :
1713107
Link To Document :
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