DECENTRALIZED SMOOTHING ALGORITHMS OF CONTINUOUS-TIME SYSTEMS IN DISTRIBUTED-SENSOR NETWORKS

被引：0
|
作者：
ZHANG, JH [1 ]
DAI, GZ [1 ]
机构：
[1] NORTHWESTERN POLYTECH UNIV,DEPT COMP SCI & ENGN,SHAANXI 710072,PEOPLES R CHINA
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1992年 / 23卷 / 07期
关键词：
D O I：
10.1080/00207729208949379
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Some decentralized smoothing algorithms are derived by applying a Rauch-Tung-Striebel fixed-interval smoother formula in continuous-time systems supposing that an estimation structure is comprised of a global processor and of two local processors. Two cases are investigated for the problems of decentralized smoothing: when the local-filtered estimated are available and when the local-smoothed estimates are known. Some features of present algorithms are discussed from the point of view of data transmissions and communication bandwidth, etc.
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页码：1237 / 1243
页数：7
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