Dynamic optimization of batch processes: II. Role of measurements in handling uncertainty
Dynamic optimization of batch processes: II. Role of measurements in handling uncertainty
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DOI：
10.1016/s0098-1354(02)00117-5
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发表时间：
2003-01
期刊：
影响因子：
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通讯作者：
B. Srinivasan;D. Bonvin;Erik Visser;S. Palanki
中科院分区：
文献类型：
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作者：
B. Srinivasan;D. Bonvin;Erik Visser;S. Palanki
近年来，间歇过程的优化引起了人们的关注，因为面对日益激烈的竞争，它是降低生产成本，提高产品质量，满足安全要求和环境法规的自然选择。本文首先简要概述了可用于分析和计算最优解的分析和数值工具。概述的独创性在于对各种方法的分类。最优解的解释代表了本文的新颖元素：一方面，最优解被解释为约束和妥协，另一方面，路径和终端目标。这种特性是关键的利用测量的优化框架，这将是配套文件的主题。
The optimization of batch processes has attracted attention in recent years because, in the face of growing competition, it is a natural choice for reducing production costs, improving product quality, meeting safety requirements and environmental regulations. This paper starts with a brief overview of the analytical and numerical tools that are available to analyze and compute the optimal solution. The originality of the overview lies in the classification of the various methods. The interpretation of the optimal solution represents the novel element of the paper: the optimal solution is interpreted in terms of constraints and compromises on the one hand, and in terms of path and terminal objectives on the other. This characterization is key to the utilization of measurements in an optimization framework, which will be the subject of the companion paper.