Distributed Uncorrelated Optimal Fusion Algorithm and Its Application in Estimation of Paper Basis Weight

摘要：

In practice, the state supervision of paper machine is generally obtained by the same kind of sensors, which can perform a more estimation result. For this special multisensor system, distributed uncorrelated optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation. Compared with classical multisensor distributed-suboptimal algorithm and optimal fusion algorithm, this algorithm can adapt to the system with more than three sensors and has the advantages of the count capacity because it has no use for saving and computing the middle variable. Applications in estimation of paper basis weight show the developed algorithm has the excellent estimation performance.

作者: JIN Xue-bo Lin Yue-song

作者单位: College of Informatics and Electronics,Zhejiang Sci- Tech University,Hangzhou,310018,China Institute of Intelligent Information and Control Technology,Hangzhou Dianzi University,Hangzhou,3100

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 963-968

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）