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State Estimation for Non-linear Sampled-Data Descriptor Systems: A Robust Extended Kalman Filtering Approach

Mao Wang Tiantian Liang Zhenhua Zhou

哈尔滨工业大学学报（英文版）2019，Vol.26Issue(5)：24-31,8.

哈尔滨工业大学学报（英文版）2019，Vol.26Issue(5)：24-31,8.DOI:10.11916/j.issn.1005-9113.17143

State Estimation for Non-linear Sampled-Data Descriptor Systems: A Robust Extended Kalman Filtering Approach

Mao Wang ¹Tiantian Liang ¹Zhenhua Zhou²

作者信息

1. Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China
2. Changzhou Vocational Institute of Light Industry Technology, Changzhou 213000, Jiangsu,China
折叠

摘要

关键词

sampled-data system/descriptor system/state estimation/Kalman filtering/REKF

Key words

sampled-data system/descriptor system/state estimation/Kalman filtering/REKF

分类

信息技术与安全科学

引用本文复制引用

Mao Wang,Tiantian Liang,Zhenhua Zhou..State Estimation for Non-linear Sampled-Data Descriptor Systems: A Robust Extended Kalman Filtering Approach[J].哈尔滨工业大学学报（英文版）,2019,26(5):24-31,8.

基金项目

Sponsored by the National Natural Science Foundation of China ( Grant No. 61021002) . （ Grant No. 61021002）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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