Title :
An extended hierarchical framework for definitions of diagnosability of discrete event systems
Author :
Zhao, Xiangfu ; Ouyang, Dantong
Author_Institution :
Key Lab. of Symbolic Comput. & Knowledge Eng., Jilin Univ., Changchun, China
Abstract :
Model-based diagnosis of discrete event systems is more and more active in artificial intelligence. In this paper, diagnosability analysis of discrete event systems is concerned, which is a very important step before on line diagnosing discrete event systems in general. Firstly, an extended hierarchical framework for definitions of diagnosability of discrete event systems is given, according to their inner restriction. Next, some formal comparisons among them are presented, thanks to which, we can further understand the relations between related definitions. Finally, some future work about diagnosability of discrete event systems is discussed as well.
Keywords :
artificial intelligence; discrete event systems; artificial intelligence; diagnosability analysis; discrete event systems; extended hierarchical framework; model-based diagnosis; Artificial intelligence; Computer science; Computer science education; Control engineering; Discrete event systems; Educational technology; Knowledge engineering; Laboratories; Quantization; Systems engineering education; Model-based diagnosis; diagnosability; discrete event systems;
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2008.4811578