并对装设有svc的两区域四机电力系统进行计算机数字仿真，结果表明基于神经网络逆系统方法设计出的复合非线性控制器可以有效地改善SVC控制性能。
The simulation of the two-area four-machine SVC system verifies that the compound nonlinear controller designed by the proposed method can effectively improve the control ability of SVC system.
从而得出利用神经网络方法在仿真中建模是一种行之有效的方法，特别是对于非线性复杂系统效果更佳。
Thus obtains the use neural network method in the simulation the modeling is one effective method, is specially better regarding the non-linear complex system effect.
仿真结果表明：所采用的辨识网络能够对倾摆控制系统的动态特性进行有效的辨识，可以解决倾摆控制系统中的非线性问题。
The simulating results show that the identification networks can effectively identify the dynamic features and solve the nonlinear problems of the titling control system.
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