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针对柠檬酸发酵过程的复杂性和不确定性，采用了一种基于人工神经网络的模糊控制。仿真实验表明，系统具有良好的动态性能和鲁棒性，适用于难以建立数学模型的场合和参数时变的系统。
In view of the complexity and uncertainty of citric acid fermentation process, a fuzzy control based on artificial neural network was adopted. The simulation results show that the system has good dynamic performance and robustness, and is suitable for the occasions where the mathematical model is hard to be established and the time-varying system.