正确率可以达到98％，仿真效率很高的，IMC-PID是利用内模控制原理来对PID参数进行计算，各种kalman滤波器的设计，包括最小二乘法、SVM、神经网络、1_k近邻法,通过反复训练模板能有较高的识别率，可以得到很精确的幅值、频率、相位估计，模式识别中的bayes判别分析算法。- Accuracy can reach 98 , High simulation efficiency, The IMC- PID is using the internal model control principle for PID parameters is calculated, Various kalman filter design, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Through repeated training HgoMFyLlate have higher recognition rate, You can get a very accurate amplitude, frequency, phase estimation, Pattern Recognition bayes discriminant analysis algorithm.