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<item>
  <id>05974985</id>
  <dt>j</dt>
  <an>05974985</an>
  <augroup>
    <au>Saeed, Qamar</au>
    <au>Uddin, Vali</au>
    <au>Katebi, Reza</au>
  </augroup>
  <ti>Predictive PID control for industrial applications.</ti>
  <so>Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 18, No. 3, 279-301 (2011).</so>
  <py>2011</py>
  <pu>Watam Press, Waterloo, Ontario</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>proportional integral derivative (PID) controller</ut>
    <ut>predictive PID</ut>
    <ut>generalized predictive control (GPC)</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>http://online.watsci.org/abstract_pdf/2011v18/v18n3b-pdf/3.pdf</li>
  </ligroup>
  <abgroup>
    <ab>Summary: In this paper, a predictive PID (Proportional-Integral-Derivative) controller has been proposed with the freedom of selection of control horizon, which was earlier considered as limitation in order to keep the system causal. Predictive PID tuning parameters are obtained by minimizing the norm difference between control law of discrete PID to the Generalized Predictive Control (GPC). Primitively, two assumptions are considered with reference to selection of control horizon. The proposed scheme could be used to get the better optimal PID tuning parameters based on GPC formulation with more freedom in selection of control horizon while keeping the system causal. Simulation studies reveal that a superior performance and higher stability region observed in comparison with the previous method, which is obviously be better than the conventional PID controllers.</ab>
    <rv></rv>
  </abgroup>
</item>