In order to deal with this task, a modified bias compensation least square ( BCLS ) method is proposed.
针对输入输出观测数据均含有加性噪声的情况, 提出了一种改进的偏差补偿最小二乘算法.
Analysis and Simulation of BCLS for Parameter Identification
偏差校正最小二乘法参数辩识的分析和仿真
The purpose of this paper is to exhibit relationships between BCLS and other identification algorithms.
本文旨在分析偏差校正法与其他参数辩识方法的关系。
For Box-Jenkins systems with correlated noises, a bias compensation least squares ( BCLS) identification method is proposed by means of the bias compensation principle.
对于存在相关噪声干扰的Box&Jenkins系统,本文借助于偏差补偿原理,推导了一个偏差补偿最小二乘(BCLS)辨识方法;
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