Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals

  • Weicheng Huang
  • Shuichi Kurogi
  • Takeshi Nishida
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8226)


So far, we have shown that, using difference signals of a plant to be controlled, a single CAN2 (competitive associative net) is capable of leaning piecewise Jacobian matrices of nonlinear dynamics of the plant. Here, the CAN2 is an artificial neural net for learning efficient piecewise linear approximation of nonlinear function. Furthermore, a multiobjective robust controller is obtained by means of combining the GPC (generalized predictive controller) and a switching scheme of multiple CAN2s to cope with plant parameter change and control objective change. This paper focuses on an improvement of control performance by means of replacing single CAN2 by bagging CAN2. We analyze to show the effectiveness of the present method via numerical experiments of a crane system.


Multiobjective robust control Switching of multiple bagging CAN2s Difference signals Generalized predictive control Jacobian matrix of Nonlinear plant 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Weicheng Huang
    • 1
  • Shuichi Kurogi
    • 1
  • Takeshi Nishida
    • 1
  1. 1.Kyushu Institute of TechnologyKitakyushuJapan

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