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

页码：3363 / 3367

页数：5

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