Share Email Print
cover

Proceedings Paper

Centralized robust fusion estimation in estimation of paper basis weight based on norm-bounded parameter uncertain model
Author(s): Xue-bo Jin; Jia Bao; Hai-jiang Zheng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper gives the models of uncertain multisensor system based on norm-bounded parameter uncertain model method, by which, the centralized robust fusion estimation is developed for uncertain multisensor system based on Linear Matrix Inequality (LMI) methods. The developed fusion estimation methods are used for paper basis weight estimation considering the uncertainty of paper machine in practice. 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.

Paper Details

Date Published: 20 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203L (20 August 2010); doi: 10.1117/12.866818
Show Author Affiliations
Xue-bo Jin, Zhejiang Sci-Tech Univ. (China)
Jia Bao, Zhejiang Sci-Tech Univ. (China)
Hai-jiang Zheng, Zhejiang Sci-Tech Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

© SPIE. Terms of Use
Back to Top