Title :
Estimating Parameters of Stochastic Nonlinear Dynamic System with Use of Gradient Method
Author :
Kotelnikov, I.A.
Author_Institution :
Novosibirsk State Technical University, Cell +79139235192 Email: mohaon@softomate.com
Abstract :
The problem of estimating parameters of stochastic dynamic nonlinear system by gradient method is considered. The gradient method is applied to the criterion of normalized one-step-ahead error minimum which is calculated by extended linearized Kalman filter. The gradient calculation algorithm for this target function is obtained. Performance of the method is shown on an example of three univariate linear dynamic systems mixture.
Keywords :
Approximation algorithms; Control systems; Error correction; Gradient methods; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; State estimation; Stochastic processes; Stochastic systems;
Conference_Titel :
Electronic Instrument Engineering, 2006. APEIE '06. 8th International Conference on Actual Problems of
Conference_Location :
Novosibirsk, Russia
Print_ISBN :
5-7782-0662-3
DOI :
10.1109/APEIE.2006.4292404
