具有非参数化不确定系统的无偏辨识

Unbiased Identification of Systems with Nonparametric Uncertainty

本文研究了具有参数和非参数不确定性系统的集员辨识问题。分析表明利用我们在文［５］中提出的ＢＥＬＳ方法可以消除集员辨识中观测噪声引起的偏差．文中通过对系统输入数据的预滤波将已知零点嵌入系统，利用这些零点提供的信息将观测噪声引起的辨识偏差予以消除．

The set-membership identification of systems with parametric and nonperamchic uncertainty is studied in this pope.The bias induced by the additive noise is eliminated by using the Bias-Eliminated Least Squares Method proposed in [5].A prefilter is connected to the input terminat of the system,so that some zeros are inserted to the system. By using the information obtained from thais known zeros the bias induced by the additive noise is eliminated.