当解耦器训练结束后，对于非线性对象采用单神经元自适应PID来进行控制，仿真结果表明，此控制方案效果较好。
After the success in decoupling, single neural cell self-adapting PID is adopted to control nonlinear object. The simulation results show that the control strategy gets better effects.
仿真结果表明，改进的方法对于加速神经元学习过程，提高控制器性能，具有较为显著的作用。
Simulation results show the improved method has a fine effect on speeding up neuron learning process and improving the control performance.
仿真与实验结果表明，单神经元控制器可以改善异步电动机矢量控制的性能，具有较强的自适应性与鲁棒性。
The emulation and experiment results show that the single neuron controller can improve the Field Oriented Vector Control property of induction motor and has stronger self-adaptability and robustness.
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