Multiple Models Fuzzy Decoupling Controller for a Nonlinear System

  • Xin Wang
  • Hui Yang
  • Bing Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)


For a discrete-time nonlinear MIMO system, a multiple models fuzzy decoupling controller is designed. At each equilibrium point, the system is expanded into linear and nonlinear terms. The linear term is identified using one FLSs, while nonlinear term using other FLSs, which compose one system model. Then, all models got at all equilibrium points compose the multiple models set. At each instant, the best model is chosen out according to the switching index. Accordingly, the nonlinear term of the best model is viewed as measurable disturbance and eliminated using the feedforward strategy.


Equilibrium Point Nonlinear Term Induction Motor Multiple Model Nonlinear MIMO System 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xin Wang
    • 1
    • 2
  • Hui Yang
    • 2
  • Bing Wang
    • 3
  1. 1.Center of Electrical & Electronic TechnologyShanghai Jiao Tong UniversityShanghaiP.R. China
  2. 2.School of Electrical & Electronic EngineeringEast China Jiaotong UniversityJiangxiP.R. China
  3. 3.School of Information EngineeringShandong University at Weihai

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