利用上述结果，对象模型的全部系数可在线实时辨识并收敛于工程真值。
Using the above result, all unknown parameters of model's equation can be identified on-line and real time, and converge to engineering truth value.
母线无功——电压静态特性实时辨识是进行无功电压全局优化计算的一项重要内容。
The real-time discrimination of the main-bus reactive power-voltage static characteristics is an important content for the optimized caculation of the global reactive power-voltage.
引入基于模型误差最小准则的预测滤波算法，实现对未知扰动的实时辨识与估计，克服模型误差影响。
Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.
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