ISCAS OpenIR
Adaptive fading Kalman filter with an application
Qijun Xia; Ming Rao; Yiqun Ying; Xuemin Shen
1994
发表期刊Automatica
卷号30期号:8页码:1333-1338
摘要A new adaptive state estimation algorithm, namely adaptive fading Kalman filter (AFKF), is proposed to solve the divergence problem of Kalman filter. A criterion function is constructed to measure the optimality of Kalman filter. The forgetting factor in AFKF is adaptively adjusted by minimizing the defined criterion function using measured outputs. The algorithm remains convergent and tends to be optimal in the presence of model errors. It has been successfully applied to the headbox of a paper-making machine for state estimation.
收录类别其他
合作性质其它
关键词Kalman Filter State Estimation Adaptive Estimation Discrete System Industrial Processes
语种英语
内容类型期刊论文
URI标识http://ir.iscas.ac.cn/handle/311060/1341
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Qijun Xia,Ming Rao,Yiqun Ying,et al. Adaptive fading Kalman filter with an application[J]. Automatica,1994,30(8):1333-1338.
APA Qijun Xia,Ming Rao,Yiqun Ying,&Xuemin Shen.(1994).Adaptive fading Kalman filter with an application.Automatica,30(8),1333-1338.
MLA Qijun Xia,et al."Adaptive fading Kalman filter with an application".Automatica 30.8(1994):1333-1338.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
bj01141591.pdf(463KB) 开放获取使用许可请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qijun Xia]的文章
[Ming Rao]的文章
[Yiqun Ying]的文章
百度学术
百度学术中相似的文章
[Qijun Xia]的文章
[Ming Rao]的文章
[Yiqun Ying]的文章
必应学术
必应学术中相似的文章
[Qijun Xia]的文章
[Ming Rao]的文章
[Yiqun Ying]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。