2004
DOI: 10.1023/b:disc.0000005010.55515.27
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On the Computation of Observers in Discrete-Event Systems

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Cited by 83 publications
(107 citation statements)
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“…The OP-verifier does not require explicitly computing the abstraction to check for the OP and has been shown to have better computational performance when compared to other similar procedures (Wong and Wonham, 2004;Jiang et al, 2003;Feng and Wonham, 2010;Pena et al, 2010a). Nevertheless, the OP-verifier algorithm as proposed in (Pena et al, 2008) can only be applied to automata that do not have cycles of non-relevant events.…”
Section: Introductionmentioning
confidence: 99%
“…The OP-verifier does not require explicitly computing the abstraction to check for the OP and has been shown to have better computational performance when compared to other similar procedures (Wong and Wonham, 2004;Jiang et al, 2003;Feng and Wonham, 2010;Pena et al, 2010a). Nevertheless, the OP-verifier algorithm as proposed in (Pena et al, 2008) can only be applied to automata that do not have cycles of non-relevant events.…”
Section: Introductionmentioning
confidence: 99%
“…The most effective model abstraction operator in SCT is the causal reporter map having the observer property [15], which later was substituted by Feng and Wonham [16], [17] with the natural observer. In this, components which are sharing only a small number of common events, their abstractions tend to be small, and designing controllers may require only a modest effort.…”
Section: Introductionmentioning
confidence: 99%
“…While [21] treats hierarchical control using general causal reporter maps, Feng and Wonham [22], [23], construct model abstractions only with natural observers, i.e., natural projections [24], [25], [26] with the observer property. In this method, if two components share only a small number of common events, their abstractions tend to be small, and either verifying the nonconflicting property (if it holds) or designing a coordinator to achieve it may require only modest effort.…”
Section: Introductionmentioning
confidence: 99%