具有自诊断的自组织系统

Kiyoaki Yoshida, T. Kohda, Y. Sujaku
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引用次数: 3

摘要

构建一个能够在没有任何人类支持的情况下长时间运行的系统是许多工程师的目标。然而,通常认为去中心化自组织自治系统很难实现容错。在本文中,我们提出将高度结构化自诊断系统理论应用于这一问题。作为一个例子,我们将容错系统构造的理论和递归过程方法应用于一个分散的自组织圆形自治机器人系统。仿真结果表明了该方法的有效性。高度结构化的自诊断系统具有O(|E|)故障识别算法,该算法可以独立地、局部地、任意顺序地诊断系统中的每个单元,其中E和|E|分别表示有向边集及其基数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-organizing systems with self-diagnosability
Constructing a system capable of functioning without any human support over an extended period is the aim of many engineers. However it is generally considered to be difficult to make decentralized self-organizing autonomous system fault-tolerant. In this paper, we propose to apply the theory of highly structured self-diagnosable systems to this problem. As an example, we apply the theory and recursive procedures method of fault-tolerant system construction to a decentralized self-organizing autonomous robotic system that forms a circle. The result of simulation shows the usefulness of the proposed method. The highly structured self-diagnosable system has an O(|E|)fault-identification algorithm that can diagnose each of the units in the system independently, locally and in any order, where E and |E| mean the set of the directed edges and its cardinality, respectively.
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