Traditional PI controllers do not have PI on-line parameter identification function, which makes the system can not reach the best control.
传统的PI控制器不具备参数在线辨识功能，这使得系统的性能达不到最优的控制。
In order to improve the track accuracy of the system, the on-line identification parameter method is used and the parameters of controller can be corrected instantly.
为了提高系统的跟踪准确度，笔者提出在线辨识参数的改进无差拍控制策略。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
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