Parameter Identification Research Based on ARX Model

Abstract:

Based on the principle of the system identification, combined Simulink with System Identification Toolbox from MATLAB, the least square estimation method is selected to establish a system of ARX model, and Akaike Information Criterion (AIC) was used in the identification of model order, compared with the original model to study the fitting accuracy, and the validity of the model is examined by residual analysis. This approach overcomes the disadvantages of the complexity and difficulty in traditional programming model. Compared to other program identification method, it has a short modeling time, and it is clear, reliable, intuitive visual, good scalability. Furthermore, the model parameters, result and system can be easily modified, assessed and verified. This method of system modeling and simulation can be used for reference to aerospace and other fields.

• Periodical: Applied Mechanics and Materials (Volumes 190-191)
• Pages: 292-296
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.190-191.292
• Online since: July 2012
• Authors: Huai Yuan Liu, Jian Hua He, Song Chen
• Keywords: ARX Model, Least Square Estimation, Simulink, System Identification

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DOI: 10.1007/978-1-4471-2221-0_18

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