Predictive Control Based on a Fuzzy Model

  • Igor Škrjanc
  • Katarina Kavšek-Biasizzo
  • Drago Matko
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 16)


In predictive control the output signal y is predicted at each sampling time. This prediction is made implicitly or explicitly according to the model of the controlled process. Next, a control action is selected that is intended to bring the predicted process output back to a given reference signal so that the difference between the reference signal and the output is minimized. Control methods essentially based on the principle of predictive control are Richalet’s method (Model Algorithmic Control), Cutler’s method (Dynamic Matrix Control), De Keyser’s method (Extended Prediction Self-Adaptive Control), and Ydstie’s method (Extended Horizon Adaptive Control).


Fuzzy Model Liquid Level Dynamic Matrix Prediction Horizon Fuzzy Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Igor Škrjanc
    • 1
  • Katarina Kavšek-Biasizzo
    • 1
  • Drago Matko
    • 1
  1. 1.Faculty of Electrical and Computer EngineeringUniversity of LjubljanaLjubljanaSlovenia

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