Predictive control for industrial applications

M.J. Grimble; A.W. Ordys

doi:10.1016/S1367-5788(01)00003-7

Predictive control for industrial applications

M.J. Grimble, A.W. Ordys

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	13-24
Number of pages	11
Journal	Annual Reviews in Control
Volume	25
DOIs	https://doi.org/10.1016/S1367-5788(01)00003-7
Publication status	Published - 2001

Keywords

adaptive control
control systems
predictive control
dynamic control

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10.1016/S1367-5788(01)00003-7

Cite this

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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.",

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AB - 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.

KW - adaptive control

KW - control systems

KW - predictive control

KW - dynamic control

UR - http://dx.doi.org/10.1016/S1367-5788(01)00003-7

U2 - 10.1016/S1367-5788(01)00003-7

DO - 10.1016/S1367-5788(01)00003-7

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VL - 25

SP - 13

EP - 24

JO - Annual Reviews in Control

JF - Annual Reviews in Control

SN - 1367-5788

ER -

Predictive control for industrial applications

Abstract

Keywords

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