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Nonlinear hybrid system and parameter identification of microbial fed-batch culture with open loop glycerol input and pH logic control

机译:带开环甘油输入和pH逻辑控制的微生物补料分批培养的非线性混合系统和参数辨识

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摘要

In this paper, we study the fed-batch fermentation of glycerol by Klebsiella pneumoniae with open loop glycerol input and pH logic control using a flow of alkali as manipulated variable. A nonlinear hybrid system is developed to describe this process. We prove the finiteness of switching numbers of the system in terms of bounded variation and explore the existence and uniqueness of the solutions. Additionally, a parameter identification problem is proposed and an asynchronous parallel particle swarm optimization (PSO) algorithm is constructed to solve it. Numerical results show the effectiveness of the algorithm and reveal that the proposed model could describe the fed-batch process properly.
机译:在本文中,我们研究了肺炎克雷伯菌的分批补料发酵,其中开环甘油输入和以碱流为控制变量的pH逻辑控制。开发了非线性混合系统来描述该过程。我们证明了系统有界变化的切换数的有限性,并探索了解的存在性和唯一性。另外,提出了一种参数辨识问题,并构造了异步并行粒子群优化算法来解决。数值结果表明了该算法的有效性,表明所提出的模型可以正确描述补料过程。

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