This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.

Filename	Size	Update
CH3	CH4	CH6程序注释与剖析.doc	418816	2003-12-22
ch2	ch5	ch7辨识仿真书程序夹.rar	9031	2003-12-21
ch3	ch4	ch6辨识程序夹.rar	7406	2003-12-22
密码.txt	5	2018-07-17
CH2	CH5	CH7程序注释与剖析.doc	720896	2003-12-22

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