可进化的生产系统与复杂性科学在哪里相遇

L. Ribeiro, J. Barata, J. Pimentão
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引用次数: 13

摘要

现代控制方法要么被指定为复杂系统,要么处理复杂系统。可进化生产系统(EPS)的概念需要一个支持系统适应和进化的迭代系统设计/控制循环。这两个概念都是从自然系统中借来的,如果为了生产系统而适当地实例化和探索,可能会包括一组自组织和紧急过程。EPS研究的主要挑战之一是构建这些发展中的自然概念,并将它们置于基于机电代理的框架中。这种方法还将处理和潜在地利用突发行为的可能性带入了等式。不可避免地,应对具有不可预测行为的动态发展设置会大大提高复杂性问题,因此需要开始将EPS系统作为复杂系统进行分析。本文介绍了复杂系统的背景,特别是关于自组织和涌现组件,并从这种集成中详细介绍了如何在EPS中采用技术和功能挑战的桥梁。这项工作是基于几个欧洲项目框架内建立的装配系统,包括EUPASS、iprom和IDEAS。最后,本文将提供对复杂性方法的初步评估和批判性回顾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Where evolvable production systems meet complexity science
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.
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