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Titlebook: Computer Aided Systems Theory – EUROCAST 2017; 16th International C Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-A Conference proceedin

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https://doi.org/10.1007/978-1-4842-7939-7time-bounded property expressed as a probabilisitic temporal logic formula, our method allows computing the parameters values for which the probability of satisfying the property meets a given bound, or is optimised. We develop algorithms based on reducing the parameter synthesis problem for GSPNs t
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Time-varying Dynamic Systems Identificationpulation is considered. The growth parameter of the process is then modified by introducing a time-dependent exogenous term. The first passage time problem is considered and a two-step procedure to estimate the model is proposed. Simulation study is also provided for suitable choices of the exogenou
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https://doi.org/10.1007/978-0-85729-522-4e mean, .(.), of the running maximum of an integrated Gauss-Markov process .(.). Moreover, the connection between the moments of the first-passage-time of .(.) and .(.) is investigated. Some explicit examples are reported.
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Time-varying Static Systems Identificationuantile-based probabilistic mean value theorem given in Di Crescenzo . [.] and provide some applications based on distorted random variables. Specifically, we consider the cases when the underlying random variables satisfy the proportional hazard rate model and the proportional reversed hazard rate
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Existence and Uniqueness of Solutions in FCNerties of .. Our work has relevance mainly to recent methods that are based on finding an . by a sequence of refinements learned from counterexamples. Our goal is to improve the overall efficiency of this approach by concentrating on choosing refinements that lead to a more succinct invariants. For
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