Computer Science – Artificial Intelligence
Scientific paper
2006-05-24
Computer Science
Artificial Intelligence
14 pages; revisions have been made
Scientific paper
In order to more effectively cope with the real-world problems of vagueness, {\it fuzzy discrete event systems} (FDESs) were proposed recently, and the supervisory control theory of FDESs was developed. In view of the importance of failure diagnosis, in this paper, we present an approach of the failure diagnosis in the framework of FDESs. More specifically: (1) We formalize the definition of diagnosability for FDESs, in which the observable set and failure set of events are {\it fuzzy}, that is, each event has certain degree to be observable and unobservable, and, also, each event may possess different possibility of failure occurring. (2) Through the construction of observability-based diagnosers of FDESs, we investigate its some basic properties. In particular, we present a necessary and sufficient condition for diagnosability of FDESs. (3) Some examples serving to illuminate the applications of the diagnosability of FDESs are described. To conclude, some related issues are raised for further consideration.
Fan Zhujun
Liu Fuchun
Qiu Daowen
Xing Hongyan
No associations
LandOfFree
Diagnosability of Fuzzy Discrete Event Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Diagnosability of Fuzzy Discrete Event Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diagnosability of Fuzzy Discrete Event Systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-71447