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总体全解耦辨识
相关语句
  total fully decoupled identification
     According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed.
     按照Volterra级数模型的伪线性组合结构 ,采用总体最小二乘辨识技术的原理 ,导出了一种总体全解耦辨识的思想 .
短句来源
  相似匹配句对
     Total Fully Decoupled Adaptive Filter for Nonlinear Volterra System
     非线性Volterra系统的总体解耦自适应滤波
短句来源
     Fully Decoupled RLS Adaptive Identification Algorithm Based on Volterra Series
     基于Volterra级数的解耦RLS自适应辨识算法
短句来源
     Overall Design of a Fully Hydraulic Bulldozer
     液压推土机的总体设计
短句来源
     Multivariable Fully Decoupling Self-tuning Control
     解耦的多变量自校正控制
短句来源
     According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed.
     按照Volterra级数模型的伪线性组合结构 ,采用总体最小二乘辨识技术的原理 ,导出了一种总体解耦辨识的思想 .
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The decoupled adaptive identification problem for nonlinear system based on Volterra series is discussed in allusion to the corrupted input and output observation data. According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed. And then a staged adaptive identification algorithm with fully decoupled structure is built, and its framework diagram is shown. The advantage...

The decoupled adaptive identification problem for nonlinear system based on Volterra series is discussed in allusion to the corrupted input and output observation data. According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed. And then a staged adaptive identification algorithm with fully decoupled structure is built, and its framework diagram is shown. The advantage of the presented algorithm is that it possesses higher convergence speed and precision than the partly decoupled identification algorithm under a complete noise data environment. Finally simulation results indicate that the presented algorithm in this paper is efficient.

研究了在输入输出观测数据均含有噪声时如何对基于Volterra级数描述的非线性系统进行解耦自适应辨识的问题 .按照Volterra级数模型的伪线性组合结构 ,采用总体最小二乘辨识技术的原理 ,导出了一种总体全解耦辨识的思想 .从而建立了一种具有全解耦结构的递阶式自适应辨识算法 ,给出了该算法的结构图 .相比于部分解耦辨识算法 ,该算法的优点在于它能够在全噪声数据环境下得到更高的收敛速度和精度 .仿真研究的结果证明了本文方法的有效性

 
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