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