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Model-based monitoring of discrete-event systems.

机译:基于模型的离散事件系统监视。

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摘要

A Discrete Event System (DES) is a dynamic system in which the state of the system changes instantaneously in response to the occurrence of events. DESs arise as models of many modern man-made systems, including manufacturing systems, communication networks, computer systems, digital sequential circuits, and traffic systems. An important problem in the modeling, analysis and control of DESs is the problem of on-line monitoring, which plays a key role in performance evaluation, fault tolerance, verification, debugging, security, and control of DESs. A monitoring system performs the tasks of gathering, interpreting, and reacting to the information on the behavior of a system. Among these tasks, data interpretation is the central task of the monitoring system when there is limited observation. In this thesis, we consider the problem of model-based monitoring of DESs, and concentrate on the task of data interpretation where only limited observation is available. Specifically, we consider the problem of extracting information on events in a timed DES from partial observations, a process we refer to as inversion. We adopt two popular models for DESs: automata (finite-state machines) and Petri nets. We develop necessary and sufficient conditions for invertibility. These conditions provide a basis for efficiently determining whether a given DES with an observation scheme is invertible. For invertible systems, we provide an algorithm to perform inversion. We also consider d-invertibility, which is less restrictive than invertibility in that it allows delay of d occurrences of events in inversion. To circumvent the complexity problem that arises in dealing with very complex DESs, we develop an approach for inversion based on a distributed model. We investigate the problem of designing an observation scheme to make a given system invertible, which is as important a problem as that of checking invertibility. Finally, we consider the problem of fault detection and identification in untimed DESs. We approach the problem using the techniques developed for invertibility.
机译:离散事件系统(DES)是一个动态系统,其中系统的状态响应于事件的发生而瞬时更改。 DES是许多现代人为系统的模型,包括制造系统,通信网络,计算机系统,数字顺序电路和交通系统。在线监控问题是DES建模,分析和控制中的一个重要问题,它在DES的性能评估,容错,验证,调试,安全性和控制中起着关键作用。监视系统执行收集,解释和响应有关系统行为的信息的任务。在这些任务中,当观察力有限时,数据解释是监视系统的中心任务。在本文中,我们考虑了基于模型的DES监测问题,并集中在只有有限观察可用的数据解释任务上。具体而言,我们考虑了从局部观测中提取定时DES中事件信息的问题,我们称此过程为反演。我们采用两种流行的DES模型:自动机(有限状态机)和Petri网。我们为可逆性开发了必要和充分的条件。这些条件为有效确定具有观察方案的给定DES是否可逆提供了基础。对于可逆系统,我们提供了一种执行逆运算的算法。我们还考虑了d可逆性,它比可逆性的限制要少,因为它允许延迟d个事件在反演中的发生。为了避免在处理非常复杂的DES时出现的复杂性问题,我们开发了一种基于分布式模型的反演方法。我们研究设计观察方案以使给定系统可逆的问题,这与检查可逆性一样重要。最后,我们考虑了非定时DES中的故障检测和识别问题。我们使用为可逆性开发的技术来解决该问题。

著录项

  • 作者

    Park, Yongseok.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 166 p.
  • 总页数 166
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术 ;
  • 关键词

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