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用有限个时不变模型描述多纸种造纸机不确定系统，用神经网络方法实现了该纸机的定量控制。该方法以经过训练的神经网络控制器代替常规控制器，可同时达到对多个模型的控制，进而达到对不确定系统的控制。
The finite time invariant model is used to describe the multi-paper machine uncertainty system, and the quantitative control of the paper machine is realized by the neural network method. In this method, a trained neural network controller is used instead of the conventional controller to control multiple models at the same time, so as to achieve the control of the uncertain system.