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Continuous - Discrete Interval Observers for Monitoring Microalgae Cultures

机译:连续-离散间隔观测器监测微藻培养。

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Algorithms estimating unmeasured component concentrations play a key role in biopro-cess applications where only a few on-line measurements are usually available. In this article,interval observers are designed to provide guaranteed intervals for the key components involved in cultures of microalgae. In contrast with most of the published studies focusing on continuous-time measurements,this study considers discrete-time measurements with possibly long and irregular sampling and defines predictors based on model equations and state transformations to ensure the enclosure of the state variables between two measurement times. The methods are validated with experimental data where the remaining inorganic nitrogen and the microalgal internal quota are estimated.
机译:估计未测组分浓度的算法在生物过程应用中起着关键作用,在生物过程应用中,通常只有很少的在线测量可用。在本文中,间隔观察者旨在为涉及微藻培养的关键成分提供有保证的间隔。与大多数针对连续时间测量的已发表研究相反,该研究考虑了可能具有较长且不规则采样的离散时间测量,并基于模型方程式和状态变换定义了预测变量,以确保状态变量在两个测量时间之间封闭。这些方法通过实验数据进行了验证,其中估计了剩余的无机氮和微藻类内部配额。

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