期刊
IET CONTROL THEORY AND APPLICATIONS
卷 4, 期 3, 页码 339-350出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2008.0280
关键词
-
资金
- Ministry for the Culture, the Higher Education and Research of Luxembourg [BFR 04/117]
- FNR (Fonds National de la Recherche) of Luxembourg
In this study, the moving horizon recursive state estimator for linear singular systems is derived from the least squares estimation problem. It will be shown that this procedure yields the same state estimate as the Kalman filter for descriptor systems when the noises are Gaussian. The obtained results are applied to the state and the unknown inputs estimation for discrete-time systems with unknown inputs. A numerical example is presented to illustrate the proposed method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据