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Author Chen Genshe ♦ Chen Xinhai
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1993
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Fuzzy logic ♦ Genetic algorithms ♦ Space vehicles ♦ Fuzzy control ♦ Educational institutions ♦ Expert systems ♦ Control systems ♦ Nominations and elections ♦ Hybrid intelligent systems ♦ Fuzzy systems
Abstract This paper introduces a new method for learning high-performance fuzzy membership functions for a fuzzy logic controller using genetic algorithms (GAs). GAs are search procedures which duplicate many of the processes of nature genetics. The membership functions learned by the genetic algorithm provide for a more, efficient fuzzy logic controller than membership functions selected by the subject decision. The approach is applied to a spacecraft rendezvous problem.
Description Author affiliation: Coll. of Astron., Northwestern Polytech. Univ., Xian, China (Chen Genshe; Chen Xinhai)
ISBN 0780312333
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1993-10-19
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 202.21 kB
Page Count 4
Starting Page 300
Ending Page 303

Source: IEEE Xplore Digital Library