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Conference Paper: An adaptive fuzzy-neural controller for multivariable system
| Title | An adaptive fuzzy-neural controller for multivariable system |
|---|---|
| Authors | |
| Issue Date | 2005 |
| Citation | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2005, v. 2, p. 1221-1226 How to Cite? |
| 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 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 Identifier | http://hdl.handle.net/10722/212840 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Xiao, Jun | - |
| dc.contributor.author | Xiao, Jizhong | - |
| dc.contributor.author | Xu, Xinhe | - |
| dc.contributor.author | Xi, Ning | - |
| dc.date.accessioned | 2015-07-28T04:05:11Z | - |
| dc.date.available | 2015-07-28T04:05:11Z | - |
| dc.date.issued | 2005 | - |
| dc.identifier.citation | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2005, v. 2, p. 1221-1226 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/212840 | - |
| dc.description.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 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.language | eng | - |
| dc.relation.ispartof | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM | - |
| dc.title | An adaptive fuzzy-neural controller for multivariable system | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.scopus | eid_2-s2.0-27644568894 | - |
| dc.identifier.volume | 2 | - |
| dc.identifier.spage | 1221 | - |
| dc.identifier.epage | 1226 | - |