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Stability analysis of a linear model predictive control and its application in a water recovery process

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Stability analysis of a linear model predictive control and its application in a water recovery process. / Mercorelli, Paolo.
In: Advances in Science, Technology and Engineering Systems, Vol. 4, No. 5, 01.01.2019, p. 314-320.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Mercorelli, P 2019, 'Stability analysis of a linear model predictive control and its application in a water recovery process', Advances in Science, Technology and Engineering Systems, vol. 4, no. 5, pp. 314-320. https://doi.org/10.25046/aj040540

APA

Mercorelli, P. (2019). Stability analysis of a linear model predictive control and its application in a water recovery process. Advances in Science, Technology and Engineering Systems, 4(5), 314-320. https://doi.org/10.25046/aj040540

Vancouver

Mercorelli P. Stability analysis of a linear model predictive control and its application in a water recovery process. Advances in Science, Technology and Engineering Systems. 2019 Jan 1;4(5):314-320. doi: 10.25046/aj040540

Bibtex

@article{0612e0f6316742cbbc5cc2945b8ab0ce,
title = "Stability analysis of a linear model predictive control and its application in a water recovery process",
abstract = "This paper examines application of linear general model predictive control (LGMPC). The stability of the LGMPC is proven by means of a demonstration of a theorem stating a sufficient and constructive condition. Lower bounds conditions are found for one of these matrices and then a system with saturation is taken into consideration. The conditions can be interpreted through physical aspects. The results obtained were tested by means of computer simulations and an example with a water recovery process is considered.",
keywords = "Applications, Model Predictive Control, Stability Analysis, Engineering",
author = "Paolo Mercorelli",
year = "2019",
month = jan,
day = "1",
doi = "10.25046/aj040540",
language = "English",
volume = "4",
pages = "314--320",
journal = "Advances in Science, Technology and Engineering Systems",
issn = "2415-6698",
publisher = "ASTES Publishers",
number = "5",

}

RIS

TY - JOUR

T1 - Stability analysis of a linear model predictive control and its application in a water recovery process

AU - Mercorelli, Paolo

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper examines application of linear general model predictive control (LGMPC). The stability of the LGMPC is proven by means of a demonstration of a theorem stating a sufficient and constructive condition. Lower bounds conditions are found for one of these matrices and then a system with saturation is taken into consideration. The conditions can be interpreted through physical aspects. The results obtained were tested by means of computer simulations and an example with a water recovery process is considered.

AB - This paper examines application of linear general model predictive control (LGMPC). The stability of the LGMPC is proven by means of a demonstration of a theorem stating a sufficient and constructive condition. Lower bounds conditions are found for one of these matrices and then a system with saturation is taken into consideration. The conditions can be interpreted through physical aspects. The results obtained were tested by means of computer simulations and an example with a water recovery process is considered.

KW - Applications

KW - Model Predictive Control

KW - Stability Analysis

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85079287169&partnerID=8YFLogxK

U2 - 10.25046/aj040540

DO - 10.25046/aj040540

M3 - Journal articles

AN - SCOPUS:85079287169

VL - 4

SP - 314

EP - 320

JO - Advances in Science, Technology and Engineering Systems

JF - Advances in Science, Technology and Engineering Systems

SN - 2415-6698

IS - 5

ER -

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Research output: Journal contributions › Journal articles › Research › peer-review

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