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

Paolo Mercorelli

doi:10.25046/aj040540

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

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

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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, Jahrgang 4, Nr. 5, 01.01.2019, S. 314-320.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

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 = "ASTES Journal",

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 - ASTES Journal

JF - ASTES Journal

SN - 2415-6698

IS - 5

ER -

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