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
Link To Document :
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