The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
Using the input and output signal, the method can model the system, and can control the dynamical property of the system with the inverse transfer function of the controlled object as the controller.
本方法以实际系统的输入输出信号为依据，实现系统建模，用被控对象传递函数的逆作为串联控制器来对系统的动态特性进行控制。
Firstly, the paper models the multivariable discrete state-space model of the air transmission unit by the lab method, using multi-dimensional inverse m series as input stimulus signal.
首先利用多维逆m序列作为激励输入信号，用实验法建立出空气传送部分的多变量离散状态空间模型。
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