Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Window-based Diagnostic Algorithms for Discrete Event Systems: What Information to Remember

Simple item page
dc.contributor.authorSu, Xing yu
dc.contributor.authorGrastien, Alban
dc.contributor.authorPencole, Yannick
dc.coverage.spatialSchloss St Martin, Graz, Austria
dc.date.accessioned2015-12-10T23:24:58Z
dc.date.createdSeptember 8-11, 2014
dc.date.issued2014
dc.date.updated2015-12-10T10:51:46Z
dc.identifier.urihttp://hdl.handle.net/1885/67432
dc.publisherConference Organising Committee
dc.relation.ispartofseries25th International Workshop on Principles of Diagnosis (DX14)
dc.sourceWindow-based Diagnosis Algorithms for Discrete Event Systems: What Information to Remember
dc.titleWindow-based Diagnostic Algorithms for Discrete Event Systems: What Information to Remember
dc.typeConference paper
local.bibliographicCitation.lastpage7
local.bibliographicCitation.startpage1
local.contributor.affiliationSu, Xing yu, College of Engineering and Computer Science, ANU
local.contributor.affiliationGrastien, Alban , College of Engineering and Computer Science, ANU
local.contributor.affiliationPencole, Yannick, CNRS University of Toulouse
local.contributor.authoruidSu, Xing yu, u4383016
local.contributor.authoruidGrastien, Alban , a230022
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080201 - Analysis of Algorithms and Complexity
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1454
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Su_Window-based_Diagnostic_2014.pdf
Size:
233.78 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS