Without knowing the precise system model and parameters, the ANN inverse can decouple the controlled system into two SISO linear systems.

在系统精确模型参数未知的情况下，神经网络逆系统可将被控系统解耦成两个SISO线性子系统；

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The results of test show that this inverse model feed-forward compensator has effectively reduced the non-linear error of the system and has improved the control precision of GMA.

实验结果表明，逆模前馈补偿器有效地减小了系统的非线性误差，提高了执行器的控制精度。

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The eight-point finite element is used for the discretization in the space system. The finite element model is given, facilitating to sensitivity analysis for non-linear direct and inverse problems.

采用八节点的等参单元在空间上进行离散，建立了便于敏度分析的非线性正演和反演的有限元模型，可直接求导进行敏度分析。

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