Open Research

Diagnosability of Hybrid Dynamical Networks using Indicator Functions

dc.contributor.author	Blackhall, Lachlan
dc.contributor.author	Kan John, Priscilla
dc.contributor.author	Grastien, Alban
dc.contributor.author	Hill, David
dc.contributor.editor	Frisk, E.
dc.contributor.editor	Nyberg, M.
dc.contributor.editor	Krysander, M.
dc.contributor.editor	Aslund, J.
dc.coverage.spatial	Stockholm Sweden
dc.date.accessioned	2015-12-07T22:31:00Z
dc.date.created	June 14-17 2009
dc.identifier.uri	http://hdl.handle.net/1885/22583
dc.publisher	Linkoping University Institute of Technology
dc.relation.ispartofseries	International Workshop on Principles of Diagnosis (DX 2009)
dc.source	Proceedings of The 20th International Workshop on Principles of Diagnosis (DX 2009)
dc.source.uri	http://www.isy.liu.se/dx09/papers/proceedings-dx09.pdf
dc.title	Diagnosability of Hybrid Dynamical Networks using Indicator Functions
dc.type	Conference paper
local.description.notes	Imported from ARIES
local.description.refereed	Yes
dc.date.issued	2009
local.identifier.absfor	010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublication	u4708487xPUB22
local.type.status	Published Version
local.contributor.affiliation	Blackhall, Lachlan, College of Engineering and Computer Science, ANU
local.contributor.affiliation	Kan John, Priscilla, College of Engineering and Computer Science, ANU
local.contributor.affiliation	Grastien, Alban , College of Engineering and Computer Science, ANU
local.contributor.affiliation	Hill, David, College of Engineering and Computer Science, ANU
local.description.embargo	2037-12-31
local.bibliographicCitation.startpage	173
local.bibliographicCitation.lastpage	180
dc.date.updated	2022-08-07T08:18:53Z
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