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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)

Abstract

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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