J4 ›› 2010, Vol. 48 ›› Issue (05): 828-834.

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Neural Networks Predictive Control via Generalized Backstepping

WANG Yan quan1, ZHAO Yan hui2, YANG Xiao cui2, WANG Hai yang1,3, WANG Jiang3, WEI Xi le3   

  1. 1. Department of Mechanical and Electronic Engineering, Baicheng Normal College, Baicheng 137000, Jilin Province, China;2. Department of Physics, Baicheng Normal College, Baicheng 137000, Jilin Province, China;3. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
  • Received:2009-11-29 Online:2010-09-26 Published:2010-09-21
  • Contact: WANG Jiang E-mail:jiangwang@tju.edu.cn

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Abstract:

 The authors proposed a generalized Backstepping control algorithm and RBF neural networks predictive control strategy, and analyzed the  Lyapunov sense stability and errors of the uniformly ultimately bounded (UUB) system. The validity and effectiveness of this proposed control method were verified via  simulations experiment.

Key words: generalized Backstepping; , RBF neural networks; , predictive control

CLC Number: 

  • TP183
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