Reduced-order observers applied to state and parameter estimation ofhydromechanical servoactuators

1986 ◽  
Vol 9 (2) ◽  
pp. 249-251 ◽  
Author(s):  
Hagop V. Panossian
Keyword(s):  
Parameter Estimation ◽  
Reduced Order

Derivative-Extended POD Reduced-Order Modeling for Parameter Estimation

2013 ◽  
Vol 35 (6) ◽  
pp. A2696-A2717 ◽  
Author(s):  
A. Schmidt ◽  
A. Potschka ◽  
S. Körkel ◽  
H. G. Bock
Keyword(s):  
Parameter Estimation ◽  
Reduced Order Modeling ◽  
Reduced Order

scholarly journals Accelerated Gravitational Wave Parameter Estimation with Reduced Order Modeling

2015 ◽  
Vol 114 (7) ◽  
Author(s):  
Priscilla Canizares ◽  
Scott E. Field ◽  
Jonathan Gair ◽  
Vivien Raymond ◽  
Rory Smith ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Gravitational Wave ◽  
Reduced Order Modeling ◽  
Wave Parameter ◽  
Reduced Order

Parameter estimation of multi-mode rotor-bearing systems

1982 ◽  
Vol 379 (1777) ◽  
pp. 367-387 ◽  
Keyword(s):  
Parameter Estimation ◽  
Frequency Domain ◽  
Arbitrary Number ◽  
Practical Significance ◽  
Spring Stiffness ◽  
Reduced Order ◽  
Stiffness Coefficients ◽  
Frequency Domain Approach ◽  
Multi Mode ◽  
Rotor Model

This paper presents a frequency-domain approach to the problem of estimating the linearized bearing coefficients that characterize both electromagnetic and oil-film bearings. The technique is capable of use with a rotor model of any degree of complexity supported by an arbitrary number of bearings, but the practical significance of using reduced-order rotor models is discussed. It is shown that the technique can also estimate the lumped spring stiffness coefficients in the rotor model without any measurements being required other than those used to estimate the bearing parameters.

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