仿真结果表明，这种方法具有很好的抗发散性，而且状态及参数估计精度也很高，是一种行之有效的异步电动机参数的动态辨识方法。
The results of simulation is shown that this method has high accuracy and good convergence, and it is an effective parameter identification method of induction motors.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
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