11 2020 档案
摘要：import control import numpy as np import matplotlib.pyplot as plt G1 = control.tf([1,1],[1,4]) G2 = control.tf([1,2],[1,1,1.25]) G = control.series(2.
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摘要：import control import numpy as np import matplotlib.pyplot as plt G1 = control.tf([1,1],[1,4]) G2 = control.tf([1,2],[1,1,1.25]) G = control.series(2.
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摘要：import numpy as np import matplotlib.pyplot as plt if __name__ == '__main__': L = 100 #序列长度 Y = np.zeros(L) phi = np.zeros((L,4)) u = np.random.randn(
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摘要：import numpy as np import matplotlib.pyplot as plt from mxulie import M_sequences if __name__ == '__main__': L = 400 #序列长度 l = 7 # 系数估计个数 Y = np.zeros
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摘要：import numpy as np import matplotlib.pyplot as plt from mxulie import M_sequences if __name__ == '__main__': L = 800 #序列长度 Y = np.zeros(L) phi = np.ze
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摘要：系统辨识与自适应控制MATLAB仿真 修订版 仿真实例 2.6 递推最小二乘法估计 import numpy as np import matplotlib.pyplot as plt from mxulie import M_sequences if __name__ == '__main__':
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摘要：参考：系统辨识与自适应控制MATLAB仿真（修订版） 庞中华 崔红 仿真实例2.5 import numpy as np import matplotlib.pyplot as plt from mxulie import M_sequences plt.rcParams['font.sans-se
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