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Description: 广义最小二乘辨识（噪信比大的时候会收敛到局部极值，而非全局极值）-Generalized Least Squares Identification (noise than when the letter will converge to the local maximum, rather than the overall extremum)
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Size: 1024 |
Author: 崔宇 |
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Description: RGLS算法 系统辨识 实验的源程序代码 用于气动伺服实验-RGLS algorithm systems identification of the source code for the pneumatic servo test
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Size: 1024 |
Author: yangbo |
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Description: GLS tool box. This gives the programs for generalized least square method
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Size: 1024 |
Author: Gaurav |
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Description: 广义最下二乘法,应用广义最小二乘方法来实现数学模型的建立-Generalized least the next squares, generalized least squares method to achieve the establishment of mathematical models
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Size: 2048 |
Author: 飞沙 |
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Description: 该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。-The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.
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Size: 1024 |
Author: 张鹏 |
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Description: 系统辨识的最小二乘法算法，RGLS，广义最小二乘法，通过算法算出-Least squares algorithm system identification, GLS, generalized least squares method, by calculating algorithm
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Size: 5120 |
Author: 马腾 |
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