Unknown input and state estimation for linear discrete-time systems with missing measurements and correlated noises
Unknown input and state estimation for linear discrete-time systems with missing measurements and correlated noises
复制标题
具有缺失测量和相关噪声的线性离散时间系统的未知输入和状态估计
DOI:
10.1080/03081079.2015.1106732
复制
发表时间:
2016-04
影响因子:
2
通讯作者:
Yurong Liu
中科院分区:
文献类型:
--
作者:
Huisheng Shu;Sijing Zhang;Bo Shen;Yurong Liu
This paper is concerned with the problem of simultaneous input and state estimation for a class of linear discrete-time systems with missing measurements and correlated noises. The missing measurements occur in a random way and are governed by a series of mutually independent random variables obeying a certain Bernoulli distribution. The process and measurement noises under consideration are correlated at the same time instant. Our attention is focused on the design of recursive estimators for both input and state such that, for all missing measurements and correlated noises, the estimators are unbiased and the estimation error covariances are minimized. This objective is achieved using direct algebraic operation and the design algorithm for the desired estimators is given. Finally, an illustrative example is presented to demonstrate the effectiveness of the proposed design scheme.
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DOI:
10.1109/taes.1987.310826
发表时间:
1987-05-01
影响因子:
4.4
作者:
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通讯作者:
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影响因子:
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