将关键变量分离原理和辅助模型思想相结合，得到单新息递推增广最小二乘辨识算法。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
将关键变量分离原理和辅助模型思想相结合，得到单新息递推增广最小二乘辨识算法。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
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