Real‐time information about the concentrations of substrates and biomass is the key to accurate monitoring and control of bioprocess. However, on‐line measurement of these variables is a challenging task and new measurement systems are still required. An alternative are software sensors, which can be used for state and parameter estimation in bioprocesses. The software sensors predict the state of the process by using mathematical models as well as data from measured variables. The Kalman filter is a type of such sensors.

中文翻译：

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使用气体传感器阵列和无味卡尔曼滤波器进行支持酵母培养的参数和状态估计


有关底物和生物量浓度的实时信息是准确监测和控制生物过程的关键。然而，这些变量的在线测量是一项具有挑战性的任务，仍然需要新的测量系统。另一种选择是软件传感器，它可用于生物过程中的状态和参数估计。软件传感器通过使用数学模型以及测量变量的数据来预测过程的状态。卡尔曼滤波器是此类传感器的一种。