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系统辨识中的各种辨识算法：如最小二乘法、递推最小二乘法、广义最小二乘、变遗忘因子递推算法等。-System Identification of identification algorithm : if the least-squares method, recursive least squares method, generalized least squares, changing the forgotten factor algorithm.
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好用的。系统辨识中，递推最小二乘估计（RLS）是辨识模型阶次的一个重要的算法。该程序通过实现该算法，得到模型阶次的估计值以及相关参数值。
-refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedures through the realization of
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系统辨识中，递推最小二乘估计（RLS）是辨识模型阶次的一个重要的算法。该程序通过实现该算法，得到模型阶次的估计值以及相关参数值。-system identification, recursive least squares estimation (RLS) identification model is of the order of an important algorithm. The program through the realization of the algorithm, to
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自适应递推最小二乘RLS算法，用matlab的m文件,Adaptive recursive least squares RLS algorithm
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递归最小二乘滤波器算法，包含对于单频正弦信号和实际语音信号的处理结果-Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
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自适应最小均方lms算法，用matlab的m文件-Adaptive recursive least squares lms algorithm
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此算法为最小二乘参数估计的递推算法。运行后得到辨识参数：a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。-The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7038, b1 = 1.0476, b2 = 0.4704.
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递推最小二乘 辩识算法,算法简单易懂,按照系统辩识与自适应书上的算法编写-Recursive least squares identification algorithm easy-to-read, in accordance with the system identification and adaptive algorithm for the preparation of a book
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自己编写的递推增广最小二乘算法，有意者可以参考-I have written Recursive Extended Least Squares algorithm, Interested parties can refer to the
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系统辨识二阶递推最小二乘算法实现。对数据进行了归一化的预处理，并且对原始数据进行一次采样-Second-order recursive least squares system identification algorithm
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In this presentation the method of least squares will be used to derive a recursive algorithm for automatically adjusting the coefficients of a tapped-delay-line filter, without invoking assumptions on the statistics of the input signals. This proced
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A ROBUST FAST RECURSIVE LEAST SQUARES ADAPTIVE ALGORITHM
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Recursive Least Squares (RLS) Adaptive algorithm used for system identification
RLS algorithm is one of two algorithms usually used for adaptive linear system identification.
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最小二乘的递推算法示例程序,可以直接运行，带有注释-Recursive least squares algorithm sample program, can be run directly with comments
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本程序是基于递推最小二乘算法的volterra级数辨识-This procedure is based on the recursive least squares algorithm on the series
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最小二乘的递推算法，代码中有算例，可根据需要自行修改-Recursive least squares algorithm, the code has an example, can modify according to their needs
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For the parameter identification of nonlinear second order system, using matlab based on the recursive least squares algorithm
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程序功能分别实现了线性系统理论中传递函数和状态空间的相互转化，系统辨识中的递推最小二乘算法，免疫算法以及神经网络中的BP算法。-The program functions respectively realize the mutual transformation of transfer function and state space in the linear system theory, the recursive least squares algorithm in the system
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经典的LMS与RLS递归最小二乘算法，有中文注释，很好理解(Classic LMS AND RLS recursive least squares algorithm, Chinese notes, very good understanding.)
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1.批量最小二乘法算法（也称最小二乘的一次性完成辨识算法）
2.递推最小二乘法算法，应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。
3.粒子群算法(PSO)。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．PSO的优点在于简单容易实现并且没有许多参数的调节。
4.BP神经网络，各个神经元仅接收来自前一级的输出，经神经元处理后的信息将输出至下一级，网络中没有反馈，即前一级神经元不会接受后一级神经元的输出。
water tank是原始数据（双容
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