Title :
Analysis and verification of the diagnosability of Hybrid Systems
Author :
Diene, Oumar ; Silva, Eduardo R. ; Moreira, Marcos V.
Author_Institution :
COPPE-Electr. Eng. Program, Fed. Univ. of Rio de Janeiro, Ilha do Fundão, Brazil
Abstract :
The diagnosability analysis proposed for Discrete Event Systems (DES) can be extended to Hybrid Systems (HS) which are systems with combined discrete and continuous behavior. In this paper, an approach for the diagnosability analysis of hybrid systems is proposed, based on the combination of the diagnosability of the underlying DES and the distinguishability of the continuous modes of the HS. The main idea is to build an observer of the underlying DES enriched with new events associated to the distinguishability of the continuous variables. A definition of diagnosability of HS and a method to verify if a HS is diagnosable, using a hybrid diagnoser called clustered diagnoser, are also introduced.
Keywords :
discrete event systems; fault diagnosis; DES; HS; clustered diagnoser; continuous behavior; diagnosability analysis; diagnosability verification; discrete behavior; discrete event systems; hybrid diagnoser; hybrid systems; Automata; Clustering algorithms; Discrete-event systems; Fault diagnosis; Mathematical model; Observers; Vectors;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039350