DocumentCode
2935035
Title
Adaptive fuzzy control systems
Author
Karr, Charles L.
Author_Institution
Eng. Sci. & Mech. Dept., Alabama Univ., Birmingham, AL, USA
fYear
1995
fDate
23-25 May 1995
Firstpage
11
Lastpage
13
Abstract
Computer based process control systems have been used successfully for a number of years. However, these systems are often highly mathematical, are difficult to understand and implement, and are also inflexible. Fuzzy logic was developed in the early to mid 1960s by Lotfi Zadeh as an alternative to these complex traditional computer control schemes. Zadeh saw fuzzy logic as a way to achieve process control by allowing a computer to manipulate abstract concepts in a fashion that is akin to the way humans achieve process control. Fuzzy logic allowed computer programs to be developed that combined the computer´s strength of crunching numbers rapidly with a human´s strength for manipulating abstract linguistic concepts
Keywords
fuzzy control; fuzzy logic; process control; abstract linguistic concepts; adaptive fuzzy control systems; computer based process control systems; crunching numbers; fuzzy logic; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Humans; Process control; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location
Adelaide, SA
Print_ISBN
0-8186-7085-1
Type
conf
DOI
10.1109/ETD.1995.403494
Filename
403494
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