NDLI: An adaptive fuzzy-neural controller for multivariable system

Content Provider	IEEE Xplore Digital Library
Author	Jun Xiao Jizhong Xiao Xinhe Xu Ning Xi
Copyright Year	2005
Description	Author affiliation: Key Lab. of Process Ind. Autom., Northeastern Univ. (Jun Xiao)
Abstract	This paper presents an adaptive fuzzy-neural controller for multivariable system which incorporates the advantage of fuzzy logic and neural network. Inverted pendulum is well known as a multivariable and nonlinear system. And it is very difficult to design and realize a single stage fuzzy controller for the problem of multivariable system as inverted pendulum. After the description of the research background of quadruple inverted pendulum system, a fuzzy-neural controller is proposed which is based on three dimension fuzzy composed variable and the parameters are optimized by backpropagation algorithm in neural network. And the parameters could be adjusted online further. The proposed method gives a solution to design and realize high dimension fuzzy controller in multivariable system. Simulation shows its validity
Starting Page	1221
Ending Page	1226
File Size	277184
Page Count	6
File Format	PDF
ISBN	0780390474
DOI	10.1109/AIM.2005.1511177
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Control systems MIMO Fuzzy control Fuzzy systems Neural networks Fuzzy logic Nonlinear systems Fuzzy neural networks
Content Type	Text
Resource Type	Article

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