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非线性Hammerstein系统辨识的动态分离方法
引用本文:袁廷奇,刘文江. 非线性Hammerstein系统辨识的动态分离方法[J]. 控制理论与应用, 2002, 19(4): 619-622
作者姓名:袁廷奇  刘文江
作者单位:西安交通大学自控系,西安,710049
基金项目:国家自然科学基金(69874030)资助项目.
摘    要:利用同幅值的M序列和逆M序列作为输入信号, 对Hammerstein模型中的线性动态部分进行分离处理, 通过辨识得到一个线性动态模型. 基于此线性模型, 依据系统的测量输出重构出系统的中间输入. 最后由系统的测试输入和中间输入估计出非线性部分的参数. 仿真结果表明本方法的有效性.

关 键 词:Hammerstein模型   系统辨识   中间输入   动态分离
文章编号:1000-8152(2002)04-04-0619
收稿时间:2000-03-03
修稿时间:2000-03-03

Identification of Hammerstein model based on dynamical separation technology
YUAN Ting-qi and LIU Wen-jiang. Identification of Hammerstein model based on dynamical separation technology[J]. Control Theory & Applications, 2002, 19(4): 619-622
Authors:YUAN Ting-qi and LIU Wen-jiang
Affiliation:Department of Automatic Control, Xi'an Jiaotong University, Xi'an 710049,China;Department of Automatic Control, Xi'an Jiaotong University, Xi'an 710049,China
Abstract:By using two different pseudo_random binary signals (PRBS) as the system input, the linear dynamical part of the Hammerstein system can be separated by simple algebraic operations. So the parameters of the linear part can be identified. Then the intermediate input between the nonlinear part and linear part is reconstructed by using observed output based on the estimated linear part. Finally, the nonlinear element is identified by using the test input signal and the reconstructed intermediate input. The effectiveness of the proposed algorithm is demonstrated by simulation examples.
Keywords:Hammerstein model   system identification   intermediate input   dynamical separation
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