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
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