Setting controller parameters through a minimum strategy with a weighted least squares method
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In: International Journal of Pure and Applied Mathematics, Vol. 86, No. 2, 19.07.2013, p. 457-463.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Setting controller parameters through a minimum strategy with a weighted least squares method
AU - Mercorelli, Paolo
PY - 2013/7/19
Y1 - 2013/7/19
N2 - This paper presents a feasible real time self-tuning of a controller. The main contribution of this paper consists of presenting a minimum variance control strategy together with a weighted least squares method to adapt the parameters of this approximated controller. Robustness in the proposed loop control is achieved. For that the technique is quite general and can be applied to any kind of system.
AB - This paper presents a feasible real time self-tuning of a controller. The main contribution of this paper consists of presenting a minimum variance control strategy together with a weighted least squares method to adapt the parameters of this approximated controller. Robustness in the proposed loop control is achieved. For that the technique is quite general and can be applied to any kind of system.
KW - Mathematics
KW - Computational methods
KW - Least squares method
KW - Linear regression
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=84880859547&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/7ed18113-2473-319e-bce4-674d4f24e71f/
U2 - 10.12732/ijpam.v86i2.18
DO - 10.12732/ijpam.v86i2.18
M3 - Journal articles
VL - 86
SP - 457
EP - 463
JO - International Journal of Pure and Applied Mathematics
JF - International Journal of Pure and Applied Mathematics
SN - 1311-8080
IS - 2
ER -