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Verification of command and control models

  • Cheng Jin*
  • , Liu Fei
  • , Yang Ming
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Command and control models, often represented as rules or fuzzy rules, are key components in most military simulations. Although there exist some verification techniques for rule bases, they are not enough to assure the correctness of command and control models. Based on an analysis of the characteristics of command and control models, this paper presents a fuzzy causality diagram-based verification method for command and control models. Firstly, a formal description method is developed to describe command and control models. Secondly, formally described command and control models are mapped to fuzzy causality diagram. Thirdly, formal verification criteria for command and control models are developed in order to validly and formally verify them, based on which verification is grouped into two classes: weak verification and strong verification. Finally, algorithms for weak and strong verification are developed, thus implementing formal verification of command and control models.

Original languageEnglish
Title of host publicationICIEA 2007
Subtitle of host publication2007 Second IEEE Conference on Industrial Electronics and Applications
Pages808-812
Number of pages5
DOIs
StatePublished - 2007
Event2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China
Duration: 23 May 200725 May 2007

Publication series

NameICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Conference

Conference2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
Country/TerritoryChina
CityHarbin
Period23/05/0725/05/07

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