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Conference Paper: An adaptive fuzzy-neural controller for multivariable system

TitleAn adaptive fuzzy-neural controller for multivariable system
Authors
Issue Date2005
Citation
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2005, v. 2, p. 1221-1226 How to Cite?
AbstractThis 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 back propagation 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. ©2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/212840

 

DC FieldValueLanguage
dc.contributor.authorXiao, Jun-
dc.contributor.authorXiao, Jizhong-
dc.contributor.authorXu, Xinhe-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:05:11Z-
dc.date.available2015-07-28T04:05:11Z-
dc.date.issued2005-
dc.identifier.citationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2005, v. 2, p. 1221-1226-
dc.identifier.urihttp://hdl.handle.net/10722/212840-
dc.description.abstractThis 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 back propagation 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. ©2005 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM-
dc.titleAn adaptive fuzzy-neural controller for multivariable system-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-27644568894-
dc.identifier.volume2-
dc.identifier.spage1221-
dc.identifier.epage1226-

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