Switching Set-Point Control of Nonlinear System Based on RBF Neural Network

  • Xiao-Li Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4491)


Multiple controllers based on multiple radial based function neural network(RBFNN) models are used to control a nonlinear system to trace a set-point. Considering the nonlinearity of the system, when the set-point value is time variant, a controller based on a fixed structure RBFNN can not give a good control performance. A switching controller which switches among different controller based on different RBFNN is used to adapt the varing set-point value and improve the output reponse and control performance of the nonlinear system.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Xiao-Li Li
    • 1
  1. 1.Department of Automation, Information and Engineering School, University of Science and Technology Beijing, Beijing, 100083China

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