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Agent-based approach to continuous process control for enabling parallelization of engineering cycles

机译：基于代理的连续过程控制方法，可实现工程周期的并行化

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摘要

Modern manufacturing and production systems have growing demands in energy and cost savings, which can be ensured using more advanced control algorithms at the regulatory-level industrial control loops. However, developing such algorithms requires case-dependent approach that involves complex mathematics and expertise in various fields of technology and engineering. Gathering all the needed experts to conduct the control system engineering cycle is nearly impossible for organizational and economic reasons. Thus, in this work, it is proposed to employ an agent-based approach, which is substantially different than the conventional engineering cycles for developing the static control system. The idea is to split the entire control design procedure into smaller tasks of developing the modules (i.e. agents), which encapsulate the expert knowledge (e.g. on sensor failure detection, input signal modelling and estimation). It enables clear division of the competences between the experts and allows for dynamic inclusion of the expert knowledge into the newly designed or already existing system. Therefore, the expertise may be distributed both in location and in time, which stands in contradiction to the static approach based on sequential engineering cycles.
机译：现代制造和生产系统对节能和节约成本的需求不断增长，可以在法规级别的工业控制环路上使用更先进的控制算法来确保这一点。但是，开发此类算法需要视情况而定的方法，该方法涉及技术和工程各个领域的复杂数学和专业知识。由于组织和经济原因，几乎不可能召集所有需要的专家来执行控制系统工程周期。因此，在这项工作中，建议采用基于代理的方法，该方法与用于开发静态控制系统的常规工程周期有很大不同。想法是将整个控制设计过程分为开发模块（即代理）的较小任务，这些任务封装了专家知识（例如，关于传感器故障检测，输入信号建模和估计的知识）。它可以明确区分专家之间的能力，并可以将专家知识动态地纳入新设计或现有的系统中。因此，专业知识可能会在位置和时间上都分布，这与基于顺序工程周期的静态方法相矛盾。

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