在MATLAB下，利用阻尼递推最小二阶乘原理，对一个控制系统进行参数辨识。-In MATLAB using the smallest damping recursive factorial two principles, of a control system parameter identification.

使用matalb软件，利用递推阻尼最小二乘法进行参数辨识，并改变噪声的强度，即 a*ξ(t)（0<a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a

递推最小二乘法是参数辨识中最常用的方法A 但容易产生参数爆发现象,文推导了一种更稳定的辨识方法用递推阻尼最小二乘进行系统辨识-Recursive least squares method is commonly used in the parameter identification method A but easy to produce A burst of parameter phenomenon, wen A more stable identification method was d

这里面是递推阻尼最小二乘辨识算法，主要用于系统辨识，参数估计，非线性系统建模以及系统工程领域。-There is a recursive damped least squares identification algorithm, mainly used for system identification, parameter estimation, nonlinear system modeling and system engineering.

递推阻尼最小二乘法，动态系统模型系统辨识(Recursive damping least square method)