Discrete Event Systems 2000
DOI: 10.1007/978-1-4615-4493-7_54
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Synthesis of discrete controllers based on the signal Environment

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Cited by 60 publications
(119 citation statements)
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“…The advantage of our approach is validation or simulation results are compatible and reusable from one technique to another. For example, the schedulers generated from one technique (affine-clock systems) can be directly used for VCD simulation and Sigali-based modelchecking or controller synthesis [43,36], without semantics domain change. However, only brief results have been presented for the formal techniques as how to use these techniques are not in the scope of this paper.…”
Section: Discussionmentioning
confidence: 99%
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“…The advantage of our approach is validation or simulation results are compatible and reusable from one technique to another. For example, the schedulers generated from one technique (affine-clock systems) can be directly used for VCD simulation and Sigali-based modelchecking or controller synthesis [43,36], without semantics domain change. However, only brief results have been presented for the formal techniques as how to use these techniques are not in the scope of this paper.…”
Section: Discussionmentioning
confidence: 99%
“…We use the Sigali tool [43] as the model checker. Sigali relies on an implementation of polynomials by Ternary Decision Diagram (TDD) (for three valued logic) in the same spirit of Binary Decision Diagram (BDD) [44].…”
Section: Techniques For Formal Analysis and Simulationmentioning
confidence: 99%
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“…The Controller synthesis of symbolic finite state systems has been considered e.g. by Balemi et al (1993); Marchand et al (2000); Miremadi et al (2008a). The idea, as developed by Kumar et al (1993), was to encode subsets of the state-space by predicates and all the operations on state sets by predicate transformers, thus avoiding the enumeration of the state space while computing the supervisors 2 .…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we extend Kalyon et al (2009) in two ways: we consider masks that are coverings of the state space instead of partitions, and we improve the permissiveness of the control algorithm. In order to deal with the infiniteness of state space, the algorithms presented in this paper are symbolic: they do not enumerate individual states, but deal with the system variables by means of symbolic computations and the use of predicate transformers as done by Balemi et al (1993); Marchand et al (2000); Kumar et al (1993). Moreover, since the problem is undecidable as shown by Le Gall et al (2005), we keep using abstract interpretation techniques to get effective algorithms (i.e.…”
Section: Introductionmentioning
confidence: 99%