The method consists of real-time estimation of signal frequency, synchronous tracking of sampling frequency and error correction of harmonic coefficients.
该方法包括信号频率实时估计、采样频率同步跟踪和谐波系数误差校正几个要素。
The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error.
常规控制器对系统给出粗略控制，神经网络控制器给出补偿信号来进一步减小系统输出跟踪误差。
It is proved that the proposed method can not only guarantee the bounded of the input signal, but also make the tracking error converge to a small neighborhood of the origin.
证明了该方法不但可以保证输入信号有界，而且可使跟踪误差收敛到原点的小邻域内。
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