A Generalized Inference-Based Prognosis Framework for Discrete Event Systems. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Takai, Shigemasa; Kumar, Ratnesh
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 6819
• Page End: 6824
• Publication Date: 2017-07
• Subjects: Discrete event system -- Decentralized prognosis -- Inference prognosability; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.1201
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: We previously introduced an inference-based framework for decentralized prognosis of discrete event systems, and formulated the notion of N-inference V-prognosability to characterize the existence of a disjunctive decentralized prognosis scheme such that any fault can be predicted prior to its occurrence by at least one of the prognosers, using at most N-levels of inferencing. While the disjunctive scheme relies on one of the prognosers making a positive decision, the dual conjunctive scheme relies on none of the prognosers making a negative decision. It is known that the two schemes are incomparable, and in this paper we extend our earlier work to provide a more general framework, by introducing a notion of N-inference prognosability, that captures both disjunctive and conjunctive schemes. We also develop a method for verifying N-inference prognosability.