2011
DOI: 10.1007/978-3-642-19237-1_6
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Diagnosability of Pushdown Systems

Abstract: Diagnosis problems of discrete-event systems consist in detecting unobservable defects during system execution. For finite-state systems, the theory is well understood and a number of effective solutions have been developed. For infinite-state systems, however, there are only few results, mostly identifying classes where the problem is undecidable.We consider higher-order pushdown systems and investigate two basic variants of diagnosis problems: the diagnosability, which consists in deciding whether defects ca… Show more

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Cited by 12 publications
(20 citation statements)
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“…Diagnosis and diagnosability checking have been extended to numerous models (Petri nets [CGLS09], pushdown systems [MP09], etc.) and settings (centralized, decentralized, distributed), and have had an impact on important application areas, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Diagnosis and diagnosability checking have been extended to numerous models (Petri nets [CGLS09], pushdown systems [MP09], etc.) and settings (centralized, decentralized, distributed), and have had an impact on important application areas, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…We identify decidable hypothesis under which the opacity and the diagnosis problems can be solved. The present work strictly extends the results of Morvan and Pinchinat (2009), and relies on a new approach with non-trivial constructions and transformation on graph grammars. In this presentation, we define RTS as objects generated by a finite set of tiles, a formalism equivalent to deterministic graph grammars introduced in Chédor et al (2012).…”
Section: Introductionmentioning
confidence: 71%
“…This result is a consequence of Morvan and Pinchinat (2009) since visibly pushdown systems are a strict subclass of weighted RTS. However, we have a result similar to Theorem 1.…”
Section: Opacity and Diagnosis Problems For Rtsmentioning
confidence: 86%
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“…Rather than diagnosis itself, numerous contributions have considered the diagnosability property, which means that the presence of a fault can be detected in bounded time after its occurrence. Diagnosability has been studied for numerous models (automata [1], [3], Petri nets [5], concurrent systems [6], [7], visibly push-down automata [8]...). It has been extended to stochastic systems [9]- [15], and to distributed or decentralized settings.…”
Section: Introductionmentioning
confidence: 99%