MPC for LPV systems using perturbation on control input strategy

In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control...

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Published inComputer Aided Chemical Engineering Vol. 31; pp. 350 - 354
Main Authors Bumroongsri, Pornchai, Kheawhom, Soorathep
Format Book Chapter
LanguageEnglish
Published 2012
Subjects
Online AccessGet full text
ISBN9780444595058
0444595058
ISSN1570-7946
DOI10.1016/B978-0-444-59507-2.50062-7

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Abstract In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control input strategy. An overall algorithm is proved to guarantee robust stability. The controller design is illustrated with a case study of continuous stirred-tank reactor. Comparisons with other MPC algorithms for LPV systems have been undertaken. The results show that the proposed algorithm can achieve better control performance.
AbstractList In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control input strategy. An overall algorithm is proved to guarantee robust stability. The controller design is illustrated with a case study of continuous stirred-tank reactor. Comparisons with other MPC algorithms for LPV systems have been undertaken. The results show that the proposed algorithm can achieve better control performance.
Author Kheawhom, Soorathep
Bumroongsri, Pornchai
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Keywords perturbation on control input strategy
continuous stirred-tank reactor
MPC
LPV
parameter-dependent Lyapunov function
Language English
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Lu, Arkun (bb0060) 2000; 36
Kothare, Balakrishnan, Morari (bb0050) 1996; 32
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  article-title: Comments on A feedback min-max MPC algorithm for LPV systems subject to bounded rates of change of parameters
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  article-title: A feedback min-max MPC algorithm for LPV systems subject to bounded rates of change of parameters
  publication-title: IEEE T. Automat. Contr.
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  article-title: Robust constrained model predictive control using linear matrix inequalities
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Snippet In this paper, a model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps....
SourceID elsevier
SourceType Publisher
StartPage 350
SubjectTerms continuous stirred-tank reactor
LPV
MPC
parameter-dependent Lyapunov function
perturbation on control input strategy
Title MPC for LPV systems using perturbation on control input strategy
URI https://dx.doi.org/10.1016/B978-0-444-59507-2.50062-7
Volume 31
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