Centralized robust fusion estimation in estimation of paper basis weight based on norm-bounded parameter uncertain model

Xue-bo Jin; Jia Bao; Hai-jiang Zheng

doi:10.1117/12.866818

20 August 2010 Centralized robust fusion estimation in estimation of paper basis weight based on norm-bounded parameter uncertain model

Xue-bo Jin, Jia Bao, Hai-jiang Zheng

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Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78203L (2010) https://doi.org/10.1117/12.866818
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

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Xue-bo Jin, Jia Bao, and Hai-jiang Zheng "Centralized robust fusion estimation in estimation of paper basis weight based on norm-bounded parameter uncertain model", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203L (20 August 2010); https://doi.org/10.1117/12.866818

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