scholarly journals State Estimation by Discrete Reduced Order UI Observer and Discrete Kalman Filter for Linear Systems

2014 ◽  
Vol 03 (09) ◽  
pp. 12129-12144
Author(s):  
M.S. Das ◽  
S. K. Singh
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Linear Systems ◽  
Reduced Order

State Estimation Using a Reduced-Order Kalman Filter

2001 ◽  
Vol 58 (23) ◽  
pp. 3666-3680 ◽  
Author(s):  
Brian F. Farrell ◽  
Petros J. Ioannou
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Reduced Order

Filtering of Linear Systems With Unknown Inputs

2003 ◽  
Vol 125 (3) ◽  
pp. 482-485 ◽  
Author(s):  
Hosam E. Emara-Shabaik
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Linear Systems ◽  
Gaussian Noise ◽  
Unknown Inputs ◽  
Fast Tracking ◽  
Disturbance Estimation ◽  
Simulation Results ◽  
System States ◽  
Unknown Disturbance

State estimation of linear systems under the influence of both unknown deterministic inputs as well as Gaussian noise is considered. A Kalman like filter is developed which does not require the estimation of the unknown inputs as is customarily practiced. Therefore, the developed filter has reduced computational requirements. Comparative simulation results, under the influence of various types of unknown disturbance inputs, show the merits of the developed filter with respect to a conventional Kalman filter using disturbance estimation. It is found that the developed filter enjoys several practical advantages in terms of accuracy and fast tracking of the system states.

An improved fuzzy Kalman filter for state estimation of non-linear systems

2010 ◽  
Vol 41 (5) ◽  
pp. 537-546 ◽  
Author(s):  
Zhijie Zhou ◽  
Changhua Hu ◽  
Maoyin Chen ◽  
Huafeng He ◽  
Bangcheng Zhang
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Linear Systems ◽  
Non Linear ◽  
Non Linear Systems
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