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Diagnosability of Networks of Hybrid Systems

Date

Authors

Blackhall, Lachlan

Kan John, Priscilla

Grastien, Alban

Hill, David

Publisher

International Federation of Automatic Control (IFAC)

Abstract

Results for the diagnosability of hybrid dynamical networks are presented. These results give the conditions for which arbitrary events (including faults) in hybrid networks can be detected and isolated using a general class of indicator functions. These

Keywords

Keywords: Algorithmic complexity; Diagnosability; Fault detection and isolation; General class; Hybrid dynamical; Hybrid network; Indicator functions; Hybrid systems; Parallel processing systems; Fault detection

URI

http://hdl.handle.net/1885/55228

Collections

ANU Research Publications

Source

Proceedings of SafeProcess 2009

Type

Conference paper

DOI

10.3182/20090630-4-ES-2003.0283

Restricted until

2037-12-31

Downloads

File

Description

01_Blackhall_Diagnosability_of_Networks_of_2009.pdf (195.86 KB)