研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
并用递推的极大似然法辨识参数。
Recursive maximum likelihood is used to estimate the parameters.
并用递推的极大似然法辨识参数。
Recursive maximum likelihood is used to estimate the parameters.
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