Title :
Size concentration modeling method for slashing process based on output variable dynamic correction
Author :
Yu-xian, Zhang ; Jian-hui, Wang ; Liang, Dong
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
A size concentration modeling method based on output variables dynamic correction is proposed for the sample data with asynchrony characteristics. In which, the modified recursive least square algorithm is used for continuous sample data. And by decay factor, the effect of new data is strengthened and the effect of old data is retained. For intermittent sample data, principal component regression is improved precision of size concentration model. Finally, the output of size concentration model is corrected by the output variables dynamic correction method.
Keywords :
principal component analysis; recursive estimation; regression analysis; textile technology; asynchrony characteristics; continuous sample data; decay factor; intermittent sample data; modified recursive least square algorithm; output variable dynamic correction; principal component regression; size concentration modeling method; slashing process; Analytical models; Data models; Eigenvalues and eigenfunctions; Equations; Mathematical model; Predictive models; Principal component analysis; Modified least square recursive; Output variable dynamic correction; Principal component regression; Size concentration model; Slashing process;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968341
