频域方法系统辨识，非常经典的一本书
Identification is a powerful technique for building accurate models of complex systems from
noisy data. It consists of three basic steps, which are interrelated: (1) the design of an experiment;
(2) the construction of a model, black box or from physical laws; and (3) the estimation of the model parameters from the measurements.
2024-06-18 15:57:50
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Frequency Domain System Identification Toolbox——For Use with MATLAB
2023-04-11 19:54:10
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使用通过时间反向传播 (BPTT) 训练的递归神经网络进行非线性系统识别
2022-10-09 10:04:12
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在这个模拟中，我使用递归最小二乘 (RLS) 和最小均方 (LMS) 算法实现了用于系统识别的代码。
2022-04-09 11:40:06
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System Identification Toolbox User's Guide.pdf
2021-11-01 15:04:18
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System identification is a methodology for building mathematical models of dynamic
systems on page 1-4 using measurements of the system’s input and output signals.
The process of system identification requires that you:
• Measure the input and output signals on page 1-7 from your system in time or
frequency domain.
• Select a model structure on page 1-9.
• Apply an estimation method on page 1-10 to estimate value for the adjustable
parameters in the candidate model structure.
• Evaluate the estimated model on page 1-16 to see if the model is adequate for your
application needs.
2021-10-23 07:20:38
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这是T Katayama 在2005年写的关于系统辨识的英语书籍，里面介绍了子空间辨识的材料，是一个新的辨识算法。非常适合用状态方程表示的系统的辨识问题。适合高年级的阅读。
2021-09-10 19:39:49
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System_Identification：使用MATLAB System Identification Toolbox和PID参数调整
2021-09-03 15:16:45
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