Identification of multivariable systems based on finite impulse response models with flexible orders
Identification of multivariable systems based on finite impulse response models with flexible orders
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DOI：
10.1109/icma.2005.1626647
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发表时间：
2005-07
期刊：
影响因子：
--
通讯作者：
F. Ding;Tongwen Chen
中科院分区：
文献类型：
--
作者：
F. Ding;Tongwen Chen
对于多输入、多输出随机系统，借助于辅助模型--有限脉冲响应(FIR)模型，我们提出了一种辨识算法，用于估计传递矩阵的每一项(子模型)的FIR模型参数，且FIR模型的阶数递增。其基本思想是使用辅助模型来预测/估计子模型的输出，并进一步使用递推最小二乘算法或Pade逼近方法生成子模型的参数估计。文中还给出了部分仿真结果。
For multi-input, multi-output stochastic systems, by means of auxiliary models - finite impulse response (FIR) models, we develop an identification algorithm to estimate the FIR model parameters of each entry (sub-submodel) of transfer matrices with an increasing order for the FIR model. The basic idea is to use auxiliary models to predict/estimate the outputs of the sub-submodels, and further to use the recursive least squares algorithm or the Pade approximation method to produce the parameter estimates of sub-submodels. Some simulation results are included.