文件名称:task3
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递推最小二乘法和递推阻尼最小二乘法仿真,系统模型如下:
y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t),试用递推最小二乘法和递推阻尼最小二乘法进行参数识别,并进行比较
-Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison
y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t),试用递推最小二乘法和递推阻尼最小二乘法进行参数识别,并进行比较
-Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison
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task3.m
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