Predictive control for industrial applications

M.J. Grimble, A.W. Ordys

Research output: Contribution to journal › Article

39 Citations (Scopus)

Abstract

An overview is first provided of some of the most common formulations of Predictive Control, such as Dynamic Matrix Control (DMC), Predictive Functional Control (PFC), Preview Control and Generalized Predictive Control (GPC). The main features, advantages and disadvantages are discussed. A new algorithm, based on a so called Linear Quadratic Generalized Predictive Controller (LQGPC) is then introduced. This algorithm combines features of Predictive Control with those of Linear Quadratic Gaussian Control, providing improved stability and robustness properties.
LanguageEnglish
Pages13-24
Number of pages11
JournalAnnual Reviews in Control
Volume25
DOIs
Publication statusPublished - 2001

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Industrial applications
Controllers

Keywords

  • adaptive control
  • control systems
  • predictive control
  • dynamic control

Cite this

Grimble, M.J. ; Ordys, A.W. / Predictive control for industrial applications. In: Annual Reviews in Control. 2001 ; Vol. 25. pp. 13-24.
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Grimble, MJ & Ordys, AW 2001, 'Predictive control for industrial applications' Annual Reviews in Control, vol. 25, pp. 13-24. https://doi.org/10.1016/S1367-5788(01)00003-7

Predictive control for industrial applications. / Grimble, M.J.; Ordys, A.W.

In: Annual Reviews in Control, Vol. 25, 2001, p. 13-24.

Research output: Contribution to journal › Article

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T1 - Predictive control for industrial applications

AU - Grimble, M.J.

AU - Ordys, A.W.

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KW - dynamic control

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Grimble MJ, Ordys AW. Predictive control for industrial applications. Annual Reviews in Control. 2001;25:13-24. https://doi.org/10.1016/S1367-5788(01)00003-7

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