Model Reduction Based Set-Membership Filtering with Linear State Equality Constraints

被引：8

作者：

Wu, Hao ^{[1
]}

Wang, Wei ^{[1
]}

Ye, Hao ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2013年 / 49卷 / 02期

关键词：

SYSTEMS; UNCERTAINTY;

D O I：

10.1109/TAES.2013.6494424

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The problem of set-membership state estimation for a discrete-time linear system with linear state equality constraints is considered. A model reduction based set-membership state estimation recursive algorithm is proposed. The proposed algorithm can reduce the conservativeness of an existing full space estimation method, enhance the numerical stability, and further reduce the computational load. Two simulation examples are shown to verify the estimation performance of the algorithm.

引用

收藏

页码：1391 / 1399

页数：10

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