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Where evolvable production systems meet complexity science

机译:不断发展的生产系统遇到复杂性科学的地方

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Modern control approaches are either designated as complex or tackle complex systems. The concept of Evolv-able Production System (EPS) entails an iterative system design/control loop that supports system Adaptation and Evolution. Both concepts are borrowed from natural systems and, if properly instantiated and explored for the sake of production systems, may come to include a set of self-organizing and emergent process. One of the main challenges in EPS research is to frame these developing natural concepts and set them in a Mechatronic Agent-based framework. Such an approach also brings into the equation the possibility to handle and, potentially, exploit emergent behaviour. Inevitably, the coping of dynamically evolving setups with unforecasted behaviours raises the complexity issue quite substantially, hence the need to begin to analyse the EPS systems as Complex Systems. This paper provides an introduction to the context of Complex Systems, in particular about the self-organization and emergence components, and, from this integration, details how the bridging of the technological and functional challenges is being adopted within EPS. The work is based on assembly systems built within the framework of several European projects, including EUPASS, IPROMS and IDEAS. Finally, the article will provide with an initial evaluation and critical review of the complexity approach.
机译:现代控制方法被指定为复杂的系统或解决复杂的系统。可进化生产系统(EPS)的概念需要一个迭代的系统设计/控制循环,以支持系统的适应性和进化性。这两个概念都是从自然系统中借用的,如果为了生产系统而适当地实例化和探索,它们可能会包含一组自组织和紧急过程。 EPS研究的主要挑战之一是将这些不断发展的自然概念框架化,并将其置于基于机电代理的框架中。这样的方法也将处理和潜在利用突发行为的可能性引入了方程式。不可避免地,动态演变的设置与不可预知的行为的应对大大增加了复杂性问题,因此需要开始将EPS系统分析为复杂系统。本文提供了复杂系统背景的介绍,特别是关于自组织和出现组件的介绍,并且通过这种集成,详细介绍了EPS如何采用技术和功能挑战的桥梁。这项工作基于在多个欧洲项目(包括EUPASS,IPROMS和IDEAS)框架内构建的组装系统。最后,本文将对复杂性方法进行初步评估和严格审查。

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