Nonlinear Control for Multiple-Input and Multiple-Output Nonlinear Systems with PB Models Based on I/O Linearization

  • Tadanari Taniguchi
  • Luka Eciolaza
  • Michio Sugeno
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 317)


This chapter proposes a servo control of multiple-input multiple-output (MIMO) nonlinear systems approximated by piecewise bilinear (PB) models. The approximated model is found to be fully parametric. The input-output (I/O) feedback linearization is applied to stabilize PB control systems. The controller can be represented as a Look-Up-Table (LUT). We apply the servo control based on PB models to the Caltech ducted fan model. Although the controller is simpler than the conventional I/O feedback linearizing controller, the control performance based on PB model is the same as the conventional one. The example is shown to confirm the feasibility of our proposals by computer simulations.


Piecewise bilinear model Multiple-input and multiple-output nonlinear system Input-output linearization Servo control Look-up-table controller 



This project was supported by a URP grant from Ford Motor Company which the authors thankfully acknowledge. Also, the authors would like to thank Dr. Dimitar Filev and Dr. Yan Wang of Ford Motor Company for his valuable comments and discussions. In addition, this work was supported by Grant-in-Aid for Young Scientists (B: 23700276) of The Ministry of Education, Culture, Sports, Science and Technology in Japan.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tadanari Taniguchi
    • 1
  • Luka Eciolaza
    • 2
  • Michio Sugeno
    • 2
  1. 1.Tokai UniversityHiratsukaJapan
  2. 2.European Centre for Soft ComputingMieresSpain

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