scholarly journals Bearings stiffness parameter estimation by sensitivity method

2021 ◽  
Vol 1129 (1) ◽  
pp. 012044
Author(s):  
V N Vlasevskiy ◽  
A E Belkin ◽  
I I Ivanov
Keyword(s):  
Parameter Estimation ◽  
Stiffness Parameter ◽  
Sensitivity Method

scholarly journals Trajectory Sensitivity Method and Master-Slave Synchronization to Estimate Parameters of Nonlinear Systems

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
Elmer P. T. Cari ◽  
Edson A. R. Theodoro ◽  
Ana P. Mijolaro ◽  
Newton G. Bretas ◽  
Luis F. C. Alberto
Keyword(s):  
Parameter Estimation ◽  
Nonlinear Systems ◽  
Estimation Algorithm ◽  
Initial Guess ◽  
Measurement Noise ◽  
Conditional Test ◽  
Trajectory Sensitivity ◽  
Parameter Estimation Algorithm ◽  
Sensitivity Method ◽  
True Values

A combination of trajectory sensitivity method and master-slave synchronization was proposed to parameter estimation of nonlinear systems. It was shown that master-slave coupling increases the robustness of the trajectory sensitivity algorithm with respect to the initial guess of parameters. Since synchronization is not a guarantee that the estimation process converges to the correct parameters, a conditional test that guarantees that the new combined methodology estimates the true values of parameters was proposed. This conditional test was successfully applied to Lorenz's and Chua's systems, and the proposed parameter estimation algorithm has shown to be very robust with respect to parameter initial guesses and measurement noise for these examples.

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination

Sequential accuracy in parameter estimation for population correlation coefficients.

2019 ◽  
Vol 24 (4) ◽  
pp. 492-515 ◽  
Author(s):  
Ken Kelley ◽  
Francis Bilson Darku ◽  
Bhargab Chattopadhyay
Keyword(s):  
Parameter Estimation ◽  
Correlation Coefficients ◽  
Population Correlation
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