Then a neural network is employed to approximate the non-linear component of the input-output linearized system.

然后，针对输入—输出反馈线性化得到的数学模型中的非线性项，本文利用神经网络来对该部分进行逼近。

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Compared with feedback parameters of linearized system, large amplitude equilibrium scope can be obtained with this method.

与将系统线性化后的反馈参数的计算分析相比，本文研究方法具有较大平衡范围。

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As the system's controlling inputs and operating region are constrained in real power systems, the decoupled and linearized system derived by ANN inversion method is not an ideal one.

由于实际电力系统输入限幅、工作区域受限等因素的影响，采用神经网络逆系统方法对被控电力系统进行反馈线性化解耦后的复合系统并非理想的解耦线性系统。

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