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EnglishHigh-level Petri nets (HLPNs) are an expressive formalism well supported by a number of tools that automate the editing and the interactive simulation of models and some kinds of analytical techniques, mainly based on state-space exploration. Structural analysis of HLPNs is, however, a challenging task not yet adequately supported and it is often accomplished via the unfolding of an HLPN into a corresponding low-level Petri Net. An approach to derive a system of Ordinary Differential Equations (ODEs) from a Stochastic Symmetric Net (SSN) has been proposed a few years ago, based on the net's unfolding and subsequent grouping of similar equations. This method has been recently improved by providing an algorithm that directly derives a compact ODE system (from a partially unfolded net) in a symbolic way, through algebraic manipulation of SSN annotations. In this paper, we present the automation of the calculus of Symbolic ODEs (SODEs) for SSN models as a new module of SNexpression, a tool for the symbolic structural analysis of Symmetric Nets. An application of the tool/technique to a variant of a SIRS epidemic model including antibiotic resistance is also described.
A tool for the automatic derivation of symbolic ode from symmetric net models / M. Beccuti, L. Capra, M. De Pierro, G. Franceschinis, L. Follia, S. Pernice - In: 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)Prima edizione. - [s.l] : IEEE Computer Society, 2019. - ISBN 9781728149509. - pp. 36-48 (( Intervento presentato al 27. convegno MASCOTS tenutosi a Rennes nel 2019.
| Titolo: | A tool for the automatic derivation of symbolic ode from symmetric net models | |
| Autori: | CAPRA, LORENZO (Primo) | |
| Parole Chiave: | High-Level Petri Nets; Symmetric Nets; Symbolic structural relations; Ordinary Differential Equations | |
| Settore Scientifico Disciplinare: | Settore INF/01 - Informatica | |
| Data di pubblicazione: | 2019 | |
| Enti collegati al convegno: | bcom DDN Storage IEEE Lab-STICC | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/MASCOTS.2019.00015 | |
| Tipologia: | Book Part (author) | |
| Appare nelle tipologie: | 03 - Contributo in volume |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| MASCOTSpaperSode.pdf | Post-print, accepted manuscript ecc. (versione accettata dall'editore) | Administrator Richiedi una copia | ||
| 08843193.pdf | Publisher's version/PDF | Administrator Richiedi una copia |
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