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On Verification of Strong Periodic D-Detectability for Discrete Event Systems

Authors: Jirí Balun; Tomás Masopust;

On Verification of Strong Periodic D-Detectability for Discrete Event Systems

Abstract

Abstract Detectability of discrete event systems has been introduced as a generalization of other state-estimation properties studied in the literature, including stability or observability. It is a property whether the current and subsequent states of a system can be determined based on observations. Since the requirement to exactly determine the current and subsequent states may be too strict in some applications, a relaxed notion of D-detectability has been introduced, distinguishing only certain pairs of states rather than all states. Four variants of D-detectability have been defined: strong (periodic) D-detectability and weak (periodic) D-detectability. The complexity of verifying weak (periodic) D-detectability follows from the results for verifying detectability, and hence is PSPACE-complete. Similarly, Shu and Lin constructed a detector that can check, in polynomial time, both strong (periodic) detectability and strong D-detectability. However, the case of strong periodic D-detectability is more involved, and, to the best of our knowledge, the question whether it can be verified in polynomial time is open. We answer this question by showing that there is no algorithm verifying the strong periodic D-detectability property in polynomial time, unless every problem solvable in polynomial space can be solved in polynomial time. Consequently, the algorithm based on the construction of the observer is the best possible. We further show that strong periodic D-detectability cannot be verified in polynomial time even for systems having only a single observable event, unless P = NP.

Country
Czech Republic
Related Organizations
Keywords

detectability, finite-state automata, discrete event systems, verification, complexity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold