1989
DOI: 10.1007/bfb0035790
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On the synthesis of an asynchronous reactive module

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1990
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Cited by 227 publications
(166 citation statements)
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“…Existing synthesis methods in the literature mostly focus on deriving the synchronization skeleton of a program from its specification (expressed in terms of temporal logic expressions or finite-state automata) [Emerson and Clarke 1982;Manna and Wolper 1984;Pnueli and Rosner 1989a;1989b;Attie …”
Section: Revising Real-time Unity Programs: Hardness Resultsmentioning
confidence: 99%
“…Existing synthesis methods in the literature mostly focus on deriving the synchronization skeleton of a program from its specification (expressed in terms of temporal logic expressions or finite-state automata) [Emerson and Clarke 1982;Manna and Wolper 1984;Pnueli and Rosner 1989a;1989b;Attie …”
Section: Revising Real-time Unity Programs: Hardness Resultsmentioning
confidence: 99%
“…In particular, the controller synthesis problem asks, given a model for a plant, to construct a model for a controller such that the behaviors resulting from the parallel composition of the two models respects a given specification (e.g., are included in an ω-regular set). Controllers can be synthesized as winning strategies in a game graph whose vertices represent the plant states, and whose players represent the plant and the controller [18,17]. Other applications of game graphs include realizability and compatibility checking, where the players represent parallel processes of a system, or its environment [1,11,6].…”
Section: Introductionmentioning
confidence: 99%
“…In [17], Pnueli and Rosner study the synthesis of reactive modules. In their framework, there is no game graph; instead, the environment and the objective are specified using an LTL formula.…”
Section: Introductionmentioning
confidence: 99%
“…The first solution for asynchronous synthesis with specifications in LTL, but without fairness conditions, is due to Pnueli and Rosner [12]. Anuchitanukul and Manna [1] later showed that fairness conditions can be included in a deductive approach; Vardi [14] provided an automata-based algorithm for the same problem.…”
Section: Introductionmentioning
confidence: 99%