Optimal Information Fusion Kalman Filtering for Discrete-time Systems with Time-delay Sensors

被引：1
|
作者：
Yan, Jie [1 ]
Lu, Xiao [1 ]
Wang, Haixia [1 ]
Cao, Maoyong [1 ]
机构：
[1] Shandong Univ Sci & Technol, Key Lab Robot & Intelligent Technol Shandong Prov, Qingdao 266510, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
Discrete-time systems; delayed sensors; optimal information fusion; innovation analysis; Riccati equations;
D O I：
10.1109/WCICA.2008.4593459
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on re-organization of innovation and the scalar weighting optimal information fusion criterion in the minimum variance sense, the time-delay information fusion Kalman filter is presented for linear discrete-time systems of double models, each of which includes instantaneous and delayed sensors.
引用
收藏
页码：3363 / 3367
页数：5
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