Simultaneous States and Parameters Estimation for Nonlinear Systems by Robust Approximated Minimum Variance Unbiased Filter

2018 ◽  
Author(s):  
Shinji Ishihara ◽  
Masaki Yamakita
Keyword(s):  
Nonlinear Systems ◽  
Minimum Variance ◽  
Parameters Estimation

scholarly journals Wind Load and Structural Parameters Estimation from Incomplete Measurements

2019 ◽  
Vol 2019 ◽  
pp. 1-20
Author(s):  
Huili Xue ◽  
Hongjun Liu ◽  
Huayi Peng ◽  
Yin Luo ◽  
Kun Lin
Keyword(s):  
Structural State ◽  
Structural Parameters ◽  
State Parameter ◽  
Minimum Variance ◽  
Wind Load ◽  
Parameters Estimation ◽  
Unbiased Estimation ◽  
Building Structure ◽  
Input Estimation ◽  
Shear Building

The extended minimum variance unbiased estimation approach can be used for joint state/parameter/input estimation based on the measured structural responses. However, it is necessary to measure the structural displacement and acceleration responses at each story for the simultaneous identification of structural parameters and unknown wind load. A novel method of identifying structural state, parameters, and unknown wind load from incomplete measurements is proposed. The estimation is performed in a modal extended minimum variance unbiased manner, based on incomplete measurements of wind-induced structural displacement and acceleration responses. The feasibility and accuracy of the proposed method are numerically validated by identifying the wind load and structural parameters on a ten-story shear building structure with incomplete measurements. The effects of crucial factors, including sampling duration and the number of measurements, are discussed. Furthermore, the practical application of the developed inverse method is evaluated based on wind tunnel testing results of a 234 m tall building structure. The results indicate that the structural state, parameters, and unknown wind load can be identified accurately using the proposed approach.

scholarly journals Polynomial Chaos Quadrature-based Minimum Variance Approach for Source Parameters Estimation

2012 ◽  
Vol 9 ◽  
pp. 1129-1138 ◽  
Author(s):  
R. Madankan ◽  
P. Singla ◽  
A. Patra ◽  
M. Bursik ◽  
J. Dehn ◽  
...  
Keyword(s):  
Polynomial Chaos ◽  
Source Parameters ◽  
Minimum Variance ◽  
Parameters Estimation ◽  
Variance Approach

Neuro-Fuzzy Generalized Minimum Variance Control of Nonlinear Systems

2004 ◽  
Vol 37 (21) ◽  
pp. 741-746 ◽  
Author(s):  
Sergio E. Pinto Castillo ◽  
Mike J. Grimble ◽  
Reza Katebi
Keyword(s):  
Nonlinear Systems ◽  
Minimum Variance ◽  
Minimum Variance Control ◽  
Neuro Fuzzy
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