An Optimal State Estimator for Linear Systems with Retarded Measurements

1989 ◽  
Author(s):  
John M. Parr ◽  
Charles L. Phillips
Keyword(s):  
Linear Systems ◽  
State Estimator ◽  
Optimal State

scholarly journals Optimal State Estimation for Linear Systems with State Constraints

2015 ◽  
Vol 48 (8) ◽  
pp. 153-157
Author(s):  
Xiaodong Xu ◽  
Biao Huang ◽  
Stevan Dubljevic
Keyword(s):  
State Estimation ◽  
Linear Systems ◽  
State Constraints ◽  
Optimal State ◽  
Optimal State Estimation

scholarly journals Analysis of resilience for a State Estimator for Linear Systems

2020 ◽  
Author(s):  
Alexandre Kircher ◽  
Laurent Bako ◽  
Eric Blanco ◽  
Mohamed Benallouch ◽  
Anton Korniienko
Keyword(s):  
Linear Systems ◽  
State Estimator

Optimal State Fusion of Linear Systems with Two Channel Observations

2011 ◽  
Vol 467-469 ◽  
pp. 823-828
Author(s):  
Peng Cui ◽  
Hong Guo Zhao ◽  
Mei Zhang
Keyword(s):  
Real Time ◽  
Linear Systems ◽  
Kalman Filtering ◽  
Recursive Algorithm ◽  
Projection Formula ◽  
Optimal State ◽  
Weighted Fusion ◽  
Innovation Analysis ◽  
Good For ◽  
State Fusion

State fusion problem of linear systems with two channel observations is discussed. A globally optimal recursive algorithm is proposed based on projection formula and innovation analysis. Different linear weighted fusion, the algorithm presented is globally optimal, which is equivalent to centralized Kalman filtering. Moreover, the algorithm is good for real-time demand for innovations from different channels are orthogonal.

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