Realization and Comparison of System Identification Based on Different Least Squares Methods

摘要：

　　System identification, which includes parameter identification and non-parameter identification, is to estimate its mathematical model based on the input and output observation in system.This paper discusses the system identification theory and establishes a transfer function of 1/4 vehicles second-order vibration system model.Through the discrete transfer function, the systems difference equation can be obtained to identify the system in two ways, RLS (recursive least squares) and RELS (extended recursive least squares).Finally, the paper makes a comparative analysis about RLS and RELS in connection with the vehicle model.The results show that RELS method is more accurate and has stronger convergence than RLS method, which provides the basis for the researching of control systems algorithm, simulation and making control strategy.

关键词： system identification MATLAB RELS RLS parameter identification

作者: Xudong Zhang Jifu Guan Liang Gu

作者单位: Noise and Vibration Control Laboratory,School of Mechanical Engineering,Beijing Institute of Technology,Beijing,PR China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 2167-2170

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）