论文部分内容阅读
提出了包括以菌体浓度Ｘ，基质浓度Ｓ，产物浓度Ｐ和排气二氧化碳为状态变量的谷氨酸发酵过程的动态时变模型。基于这个模型本文还提出了一种在线预报估计一些不能在线测量的生化状态变量的方法
The dynamic time-varying model of glutamic acid fermentation including the concentration of cell X, the concentration of substrate S, the concentration of product P and the state variable of exhaust carbon dioxide is proposed. Based on this model, this paper also presents a method for online forecasting of some biochemical state variables that can not be measured online