该方法先考虑输入具有饱和非线性的线性系统一般形式，再通过构造低增益部分、高增益非线性部分及复合非线性控制律三步完成设计。
The normal form of the linear systems with input saturation was considered; and then the control law was designed by constructing low-gain, high-gain and CNF gradually.
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。
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.
首先，在广义逆系统控制中，控制器必须与复合伪线性系统的传递函数相互配合才能使整个控制系统达到满意的动态控制效果。
Firstly, the whole control system can exhibit satisfactory dynamic result only by perfect matching the controller and composite pseudo linear system in the generalized inverse control.
提出利用CMAC神经网络与PID的复合控制，实现非线性系统控制。
This paper designed a control model, which is constructed based on CMAC neural network and combined with a PID controller.
针对复合后的伪线性系统采用内模控制，分析了存在建模误差的情况下闭环系统的鲁棒稳定性。
Internal model control is proposed for the compounded pseudo-linear system. The robust stability of the closed-loop system with modeling errors is analysed.
针对复合后的伪线性系统采用内模控制，分析了存在建模误差的情况下闭环系统的鲁棒稳定性。
Internal model control is proposed for the compounded pseudo-linear system. The robust stability of the closed-loop system with modeling errors is analysed.
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