Based on the model,the article suggest a method which predicts and estimates some on-line non-measured bioprocess state variables ahead of measuring step and overcomes accumulation error.

• 基于该模型,提出了一种克服被估变量的累积误差的一步预估方法,用以估计难以可在线测量的菌体浓度、底物浓度等生化状态变量,并根据预估结果,进行流加操作。