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Author HashemiNejad, M. ♦ Murata, J. ♦ Hirasawa, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Neural networks ♦ Control systems ♦ Error correction ♦ Nonlinear systems ♦ Nonlinear control systems ♦ Control theory ♦ Artificial intelligence ♦ Nonlinear equations ♦ Linear systems ♦ Electrical equipment industry
Abstract A neural network (NN) of a more flexible internal structure than usual is used to design a better controller. A parametric NN (PNN) can represent both linear and nonlinear relationships explicitly and simultaneously by setting its parameters appropriately. In many cases we have some information about the system which enable us to build a linear controller for it. But of course this is not enough for treating nonlinear plants. Using PNN we could make a complimentary linearized controller and then, after starting the learning, in an online manner it will be extended to a nonlinear dominant controller.
Description Author affiliation: Dept. of Electr. Eng., Kyushu Univ., Fukuoka, Japan (HashemiNejad, M.; Murata, J.; Hirasawa, K.)
ISBN 0780327810
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-07-26
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 402.37 kB
Page Count 6
Starting Page 1275
Ending Page 1280


Source: IEEE Xplore Digital Library