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- W1153634222 abstract "In this paper a method for mathematical model parameter estimation is presented. The algorithm is based on the Unscented Transformation and the Kalman Filter. The model to be identified describes an electro- hydraulic servodrive. It has nonlinear structure, with a square-root input characteristic. The structure does not allow to be identified by well-known methods, used for the standard NARX model (Nonlinear ARX) (5). The above mentioned problem resulted in choosing a direct estimator i.e. the one, which allows performing estimation of raw mathematical model parameters. In this paper the estimator, a model structure and an experiment are described. The authors present the algorithm of the Unscented Transformation. The major advantage of the Square -Root Unscented Klaman Filter over the standard Unscented Kalman Filter is also emphasized. Finally, the process of the model parameter identification and the promising results are presented. As the outcome, the UKF has proved its abilities to perform proper and satisfying estimation of mathematical model parameters of the electro-hydraulic servodrive." @default.
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- W1153634222 date "2013-01-01" @default.
- W1153634222 modified "2023-09-23" @default.
- W1153634222 title "Bezśladowy filtr Kalmana w aplikacji estymatora parametrów modelu matematycznego serwonapędu hydraulicznego" @default.
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