Comment on the use of stochastic approximation for state estimation in discrete nonlinear dynamical systems

1978 ◽  
Vol 14 (23) ◽  
pp. 730
Author(s):  
D. Sprevak ◽  
M.M. Newmann
Keyword(s):  
Dynamical Systems ◽  
State Estimation ◽  
Stochastic Approximation ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical

Journal Bearing Identification Under Operating Conditions

1984 ◽  
Vol 106 (2) ◽  
pp. 178-182 ◽  
Author(s):  
Roger Stanway
Keyword(s):  
Dynamical Systems ◽  
State Estimation ◽  
Numerical Experiments ◽  
Journal Bearing ◽  
Basic Problem ◽  
Nonlinear Dynamical Systems ◽  
Operating Conditions ◽  
Nonlinear Dynamical ◽  
Using Data ◽  
Bearing Dynamics

This note describes an approach to the problem of identifying linearized journal bearing dynamics using data acquired under normal operating conditions. The basic problem is reformulated so that an existing algorithm for state estimation in noisy nonlinear dynamical systems can be applied. The results of some numerical experiments are presented to demonstrate the feasibility of the approach.

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