An online fault detection and avoidance framework for distributed systems

Peng Zhao, Yan Lu, Mohsen A. Jafari, Ardavan Amini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article we propose an online fault detection and avoidance framework for distributed multi-agent systems. The main premise of our work follows the recent notions in autonomic and recovery oriented computing - not all faults can be determined and removed at the time of system design and testing. Thus some level of intelligence must be embedded into each agent's controller to ensure higher degree of system dependability. We assume that faults will eventually translate into a time-out condition in one or more agents. The proposed paradigm is illustrated for the case of unknown deadlock conditions in manufacturing applications.

Original languageEnglish (US)
Title of host publicationDCDS'07 - 1st IFAC Workshop on Dependable Control of Discrete Systems
PublisherIFAC Secretariat
Pages103-108
Number of pages6
EditionPART 1
ISBN (Print)9783902661395
DOIs
StatePublished - 2007

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume1
ISSN (Print)1474-6670

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Keywords

  • Control law reconfiguration
  • Dependable Systems
  • Distributed fault detection and avoidance
  • Online analysis
  • State/transition models

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