• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 19 Issue 6
Dec.  2006
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Article Contents
DU Fuyin, XU Yang. Predictive Fuzzy Control Based on Recurrent Neural Network[J]. Journal of Southwest Jiaotong University, 2006, 19(6): 733-736,747.
Citation: DU Fuyin, XU Yang. Predictive Fuzzy Control Based on Recurrent Neural Network[J]. Journal of Southwest Jiaotong University, 2006, 19(6): 733-736,747.

Predictive Fuzzy Control Based on Recurrent Neural Network

  • Received Date: 02 Jun 2005
  • Publish Date: 25 Dec 2006
  • Recurrent neural network can forecast future output of plant,based on the function,it can be achieved to predict next sampling period change-of-error.Based on the current error and predictive change-of-error,predictive fuzzy control output of fuzzy logic controller could be obtained by general fuzzy logic control rules,which make control input more fit to system states,improve the control quality.Simultaneity,control model of double systems control in turn were adopted,each system included a FLC and a recurrent neural network,and ensured one system working the other learning at the same time all along,which makes control systems have property of adaptive.The computer simulation results indicate that predictive control improves dynamic quality of system.

     

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