A Compact Solution of Distributed Multi-Step Delayed Input and State Estimation

被引:0
|
作者
Hsieh, Chien-Shu [1 ]
机构
[1] Ta Hwa Univ Sci & Technol, 1 Dahua Rd, Hsinchu 30740, Taiwan
关键词
Unbiased minimum-variance estimation; multi-step delayed input and state estimation; decoupled input estimation; system reformation; MINIMUM-VARIANCE INPUT; STOCHASTIC-SYSTEMS; DESCRIPTOR SYSTEMS;
D O I
10.1145/3284557.3284696
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents a compact solution of the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a novel decoupled unknown input estimator (UIE) design. It is shown that via this decoupling technique, the conventional UIE can be more efficiently implemented using several smaller unknown subinput estimators, which can be realized independently. Furthermore, the implementation issue of designing the online estimable UIE using a filtered state estimator is also addressed. A numerical example is given to show the effectiveness of the proposed method.
引用
收藏
页数:6
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