@inproceedings{107c711f40ba4c1b9615e53a7c90f661,
title = "Linearly constrained estimation via state space decomposition",
abstract = "This paper considers the estimation problem of the linearly constrained state. By combining the auxiliary dynamics and the constraint, the evolution of the constrained state is depicted via state space decomposition techniques. The effects of the incorporated constraints on the observability of the system model are also discussed. Based on different deterministic sampling methods, two algorithms for the linearly constrained state are presented. Finally, the effectiveness of the two algorithms is measured by a numerical simulation.",
keywords = "Linear constraint, optimal estimation, state estimation, system filtering",
author = "Linfeng Xu and Yan Liang and Feng Yang and Quan Pan",
note = "Publisher Copyright: {\textcopyright} 2014 International Society of Information Fusion.; 17th International Conference on Information Fusion, FUSION 2014 ; Conference date: 07-07-2014 Through 10-07-2014",
year = "2014",
month = oct,
day = "3",
language = "英语",
series = "FUSION 2014 - 17th International Conference on Information Fusion",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "FUSION 2014 - 17th International Conference on Information Fusion",
}