Predictive Control Based on a Fuzzy Model
Igor Škrjanc, Katarina Kavšek-Biasizzo, Drago Matko · Studies in fuzziness and soft computing · 1998
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) . 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.