2017
DOI: 10.1016/j.ipl.2017.02.001
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On minimising the maximum expected verification time

Abstract: Cyber Physical Systems (CPSs) consist of hardware and software components. To verify that the whole (i.e., software + hardware) system meets the given specifications, exhaustive simulation-based approaches (Hardware In the Loop Simulation, HILS) can be effectively used by first generating all relevant simulation scenarios (i.e., sequences of disturbances) and then actually simulating all of them (verification phase). When considering the whole verification activity, we see that the above mentioned verification… Show more

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Cited by 16 publications
(12 citation statements)
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“…Given an assignment λ to the VPH model parameters and an input vector u (i.e., a time sequence of administrations of the n u drugs defined within the model), the associated VPH model trajectory is a continuous-time function x λ (t) (or, to simplify notation, x(λ, t)) representing the time evolution of the biological quantities defined by the model when fed with u starting from its initial state and with its parameters set to λ. Of course, as the VPH model is causal, its trajectories up to any time point t ∈ R 0+ only depend on the restriction of the input up to time point t (see, e.g., [30,34]).…”
Section: Virtual Physiological Human Modelsmentioning
confidence: 99%
“…Given an assignment λ to the VPH model parameters and an input vector u (i.e., a time sequence of administrations of the n u drugs defined within the model), the associated VPH model trajectory is a continuous-time function x λ (t) (or, to simplify notation, x(λ, t)) representing the time evolution of the biological quantities defined by the model when fed with u starting from its initial state and with its parameters set to λ. Of course, as the VPH model is causal, its trajectories up to any time point t ∈ R 0+ only depend on the restriction of the input up to time point t (see, e.g., [30,34]).…”
Section: Virtual Physiological Human Modelsmentioning
confidence: 99%
“…VII. RELATED WORK In statistical model checking approaches (see, e.g., [23], [24], [25], [26], [27], [28], [29], [19], [17]), scenarios are sampled until a certain degree of confidence in the estimated probability is achieved. APD-Analyser is based on such techniques, and employs a parallel version of the algorithms in [19], [17], also adapting them to the smart grid context.…”
Section: Scalability Analysismentioning
confidence: 99%
“…Of course, as the VPH model is causal, its trajectories up to any time point t ∈ R ≥0 only depend on the restriction of the input discrete sequence up to time point t [24].…”
Section: Formalising the Virtual Physiological Human (Vph) Modelmentioning
confidence: 99%