DocumentCode
3342219
Title
Application of multisensor state fusion in estimation of paper basis weight
Author
Jin, Xue-Bo ; Sun, You-Xian
Author_Institution
Coll. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2005
fDate
14-17 Dec. 2005
Firstpage
424
Lastpage
427
Abstract
As to the uncertainty of paper machine in practice, this paper develops multisensor robust H∞ state fusion estimation method to increase the estimation performance of paper basis weight based on LMI theory. The results of experiments show the application of information fusion theory can develops the estimation performance, especially, the performance of state estimation can keep well even when the sensor fails.
Keywords
H∞ control; linear matrix inequalities; paper making; robust control; sensor fusion; uncertain systems; LMI theory; multisensor state fusion estimation method; paper basis weight estimation; paper machine; performance estimation; robust H∞ method; Filters; Machinery production industries; Modems; Noise robustness; Paper making; Paper making machines; Sensor systems; State estimation; Symmetric matrices; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Print_ISBN
0-7803-9484-4
Type
conf
DOI
10.1109/ICIT.2005.1600675
Filename
1600675
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