Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-68237-0_11
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Automated Verification of Dense-Time MTL Specifications Via Discrete-Time Approximation

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Cited by 14 publications
(46 citation statements)
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“…These systems cannot be controlled by digital controllers operating with a fixed sampling rate such as in Cassez et al [2002], since in this case their behaviors cannot be suitably discretized [Furia and Rossi 2006;Furia et al 2008a]. …”
Section: The Time Advancement Problemmentioning
confidence: 99%
“…These systems cannot be controlled by digital controllers operating with a fixed sampling rate such as in Cassez et al [2002], since in this case their behaviors cannot be suitably discretized [Furia and Rossi 2006;Furia et al 2008a]. …”
Section: The Time Advancement Problemmentioning
confidence: 99%
“…This choice is mainly justified by the fact that logic formulas are naturally compositional, hence our ultimate goal of formally combining mixed models is facilitated by this choice. It is well-known that MTL is undecidable over dense time [4]; this hurdle is however practically mitigated by employing the discretization technique for MTL introduced -and demonstrated to be practically appealing -in [16]. Note that the undecidability of dense-time MTL entails that the reduction technique must be incomplete, i.e., there are cases in which we are unable to have a conclusive outcome to the verification problem.…”
Section: Overviewmentioning
confidence: 99%
“…It involves an automated translation of the operational part into temporal logic notation, based on an MTL axiomatization discussed in this paper. The resulting MTL model, describing both the system and the properties to be verified, is then discretized according to the techniques introduced in [16]. The discrete-time approximation can be analyzed through conventional tools; we provide an implementation based on the ot bounded satisfiability checker [32].…”
Section: Introductionmentioning
confidence: 99%
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“…In previous work [8,7], we introduced the notion of non-Berkeleyness: 2 a densetime behavior is non-Berkeley for some δ > 0 if δ time units elapse between any two consecutive state transitions. In this paper we show that this notion is similar, but different, than the notion of bounded variability; we also introduce a corresponding definition of non-Berkeleyness for timed words.…”
Section: Introductionmentioning
confidence: 99%