Title: A Method for Identification of a Nonlinear Oscillation System's Parameters Based on Least Square Optimal Linearization
Abstract:We presents a method for identifying and predicting the parameters of a nonlinear oscillation system based on the method of least square optimal linearization. Firstly, the nonlinearmodel of the origi...We presents a method for identifying and predicting the parameters of a nonlinear oscillation system based on the method of least square optimal linearization. Firstly, the nonlinearmodel of the original system is supposed to be made up of some nonlinear functions, and the conventional linear model is established. Secondly, the relation of the coefficient of linear model and nonlinear model is derived by using the conclusions of least square optimal linearization. Finally, a nonlinear model of the original system is established which can be used to predict the parameters. Simulation result shows that the nonlinear model is a good approximation to the original system.Read More
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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Cited By Count: 1
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