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Model-Based Design for Biosystems. Control Opportunities and Discrete-Time Modelling Challenges

机译:基于模型的生物系统设计。控制机会和离散建模挑战

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摘要

Mastering the bioprocesses has an important impact on the industrial scale and leads to immediate social benefits on a local economy scale as well as stability on the global economy scale by the implicit answer it provides to the basic needs. The control engineering community can contribute to advance the technology in the related fields by means of a systematic model-based design. The foundation of such an approach is the modelling of the dynamical behaviour of biological processes and the competitiveness between species seen as dynamical behaviours. The present paper aims to recall a series of classifications and basic notions on these topics, the ultimate goal being twofold. On one side, it will be show that the control community is ready to step into the scene given the maturity of the existing models. On the other side, the optimization and control design have to deal with uncovered qualitative notions as the extinguish phenomena, scaling (extrapolation) of bioprocess operating regimes but also with the implementation challenges coming from the discretization issues, the asynchronous or event triggered functioning and the distributed control configurations.
机译:掌握生物过程对工业规模具有重要影响,并通过对基本需求的隐式答案,可在当地经济规模上带来直接的社会效益,并在全球经济规模上带来稳定性。控制工程界可以通过基于模型的系统设计来促进相关领域的技术进步。这种方法的基础是对生物过程的动力学行为以及被视为动力学行为的物种之间的竞争性进行建模。本文旨在回顾有关这些主题的一系列分类和基本概念,最终目的是双重的。一方面,这将表明,鉴于现有模型的成熟,控制界已准备好进入现场。另一方面,优化和控制设计必须处理未发现的定性概念,例如熄灭现象,生物过程运行方式的扩展(外推),以及实施挑战来自离散化问题,异步或事件触发的功能以及分布式控制配置。

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