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
Link To Document :
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