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 -