Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors

Faa Jeng Lin, Syuan Yi Chen, Po Huan Chou, Po Huang Shieh

研究成果: 雜誌貢獻文章

32 引文 (Scopus)

摘要

An interval type-2 fuzzy neural network (IT2FNN) control system is proposed to control the position of an X-Y-Theta (X-Y-θ) motion control stage using linear ultrasonic motors (LUSMs) to track various contours. The IT2FNN, which combines the merits of interval type-2 fuzzy logic system (FLS) and neural network, is developed to simplify the computation and to confront the uncertainties of the X-Y-θ motion control stage. Moreover, the parameter learning of the IT2FNN based on the supervised gradient descent method is performed on line. The experimental results show that the tracking performance of the IT2FNN is significantly improved compared to type-1 FNN.

原文英語
頁(從 - 到)1138-1151
頁數14
期刊Neurocomputing
72
發行號4-6
DOIs
出版狀態已發佈 - 2009 一月 1

指紋

Fuzzy neural networks
Motion control
Ultrasonics
Fuzzy Logic
Uncertainty
Learning
Fuzzy logic
Neural networks
Control systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

引用此文

Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors. / Lin, Faa Jeng; Chen, Syuan Yi; Chou, Po Huan; Shieh, Po Huang.

於: Neurocomputing, 卷 72, 編號 4-6, 01.01.2009, p. 1138-1151.

研究成果: 雜誌貢獻文章

Lin, Faa Jeng ; Chen, Syuan Yi ; Chou, Po Huan ; Shieh, Po Huang. / Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors. 於: Neurocomputing. 2009 ; 卷 72, 編號 4-6. 頁 1138-1151.
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