和传统补偿方法比，该方案能智能辨识出非线性因素所对应的等效电压量和电机定子绕组电阻。
Compared with the traditional compensation methods, the proposed strategy can intelligently identify the equivalent voltage caused by inverter nonlinearity and motor winding resistance, respectively.
本文在研究了包括传统系统辨识与智能辨识方法的基础上，对氧乐果合成间歇生产过程的温度对象进行模型辨识。
Based on researching traditional identification methods and those of intelligent control, the temperature plant of omethoate synthesis batch process will be identified.
基于NFI - CMAC，提出了一种快速、高精度的控制系统参数在线智能辨识方案，仿真实例表明了该方案的可行性与有效性。
A novel method of the on line model parameter estimation based on NFI CMAC is designed. Numerical simulation has shown its feasibility and effectiveness.
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