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Driouich, Y.; Parente, M.; Tronci, E. |
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Title |
Modeling cyber-physical systems for automatic verification |
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2017 |
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14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD 2017) |
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1-4 |
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cyber-physical systems;formal verification;maximum power point trackers;power engineering computing;Modelica;automatic verification;complex power electronics systems;cyber-physical systems modeling;distributed maximum power point tracking system;open standard modeling language;Computational modeling;Control systems;Integrated circuit modeling;Mathematical model;Maximum power point trackers;Object oriented modeling;Radiation effects;Automatic Formal Verification;Cyber-Physical Systems;DMPPT;Modeling;Photovoltaic systems;Simulation;System Analysis and Design |
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MCLab @ davi @ ref7981621 |
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168 |
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Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico |
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SyLVaaS: System Level Formal Verification as a Service |
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Conference Article |
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2015 |
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Proceedings of the 23rd Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2015), special session on Formal Approaches to Parallel and Distributed Systems (4PAD) |
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MCLab @ davi @ |
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123 |
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Mancini, Toni ; Mari, Federico ; Massini, Annalisa; Melatti, Igor; Tronci, Enrico |
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System Level Formal Verification via Distributed Multi-Core Hardware in the Loop Simulation |
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Conference Article |
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2014 |
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Proc. of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing |
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Euromicro International Conference on Parallel, Distributed and Network-Based Processing |
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IEEE Computer Society |
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Sapienza @ melatti @ |
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118 |
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Tronci, Enrico |
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Hardware Verification, Boolean Logic Programming, Boolean Functional Programming |
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1995 |
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Tenth Annual IEEE Symposium on Logic in Computer Science (LICS) |
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408-418 |
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One of the main obstacles to automatic verification of finite state systems (FSSs) is state explosion. In this respect automatic verification of an FSS M using model checking and binary decision diagrams (BDDs) has an intrinsic limitation: no automatic global optimization of the verification task is possible until a BDD representation for M is generated. This is because systems and specifications are defined using different languages. To perform global optimization before generating a BDD representation for M we propose to use the same language to define systems and specifications. We show that first order logic on a Boolean domain yields an efficient functional programming language that can be used to represent, specify and automatically verify FSSs, e.g. on a SUN Sparc Station 2 we were able to automatically verify a 64 bit commercial multiplier. |
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IEEE Computer Society |
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San Diego, California |
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yes |
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Sapienza @ mari @ lics95 |
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56 |
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Driouich, Y.; Parente, M.; Tronci, E. |
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Model Checking Cyber-Physical Energy Systems |
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Conference Article |
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2018 |
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Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017 |
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Institute of Electrical and Electronics Engineers Inc. |
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MCLab @ davi @ Driouich2018 |
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177 |
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Dipoppa, G.; D'Alessandro, G.; Semprini, R.; Tronci, E. |
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Title |
Integrating Automatic Verification of Safety Requirements in Railway Interlocking System Design |
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2001 |
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High Assurance Systems Engineering, 2001. Sixth IEEE International Symposium on |
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209-219 |
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A railway interlocking system (RIS) is an embedded system (namely a supervisory control system) that ensures the safe, operation of the devices in a railway station. RIS is a safety critical system. We explore the possibility of integrating automatic formal verification methods in a given industry RIS design flow. The main obstructions to be overcome in our work are: selecting a formal verification tool that is efficient enough to solve the verification problems at hand; and devising a cost effective integration strategy for such tool. We were able to devise a successful integration strategy meeting the above constraints without requiring major modification in the pre-existent design flow nor retraining of personnel. We run verification experiments for a RIS designed for the Singapore Subway. The experiments show that the RIS design flow obtained from our integration strategy is able to automatically verify real life RIS designs. |
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IEEE Computer Society |
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Albuquerque, NM, USA |
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0-7695-1275-5 |
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yes |
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Sapienza @ mari @ hase01 |
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45 |
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Tronci, E.; Mancini, T.; Salvo, I.; Mari, F.; Melatti, I.; Massini, A.; Sinisi, S.; Davì, F.; Dierkes, T.; Ehrig, R.; Röblitz, S.; Leeners, B.; Krüger, T.; Egli, M.; Ille, F. |
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Patient-Specific Models from Inter-Patient Biological Models and Clinical Records |
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2014 |
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Formal Methods in Computer-Aided Design (FMCAD) |
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Sapienza @ mari @ |
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120 |
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Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico; Alvisi, Lorenzo; Clement, Allen; Li, Harry |
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Model Checking Nash Equilibria in MAD Distributed Systems |
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2008 |
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FMCAD '08: Proceedings of the 2008 International Conference on Formal Methods in Computer-Aided Design |
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1-8 |
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Model Checking, MAD Distributed System, Nash Equilibrium |
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We present a symbolic model checking algorithm for verification of Nash equilibria in finite state mechanisms modeling Multiple Administrative Domains (MAD) distributed systems. Given a finite state mechanism, a proposed protocol for each agent and an indifference threshold for rewards, our model checker returns PASS if the proposed protocol is a Nash equilibrium (up to the given indifference threshold) for the given mechanism, FAIL otherwise. We implemented our model checking algorithm inside the NuSMV model checker and present experimental results showing its effectiveness for moderate size mechanisms. For example, we can handle mechanisms which corresponding normal form games would have more than $10^20$ entries. To the best of our knowledge, no model checking algorithm for verification of mechanism Nash equilibria has been previously published. |
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IEEE Press |
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Piscataway, NJ, USA |
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Cimatti, A.; Jones, R. |
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978-1-4244-2735-2 |
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yes |
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Sapienza @ mari @ MarMelSalTroAlvCle08 |
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93 |
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Driouich, Y.; Parente, M.; Tronci, E. |
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A methodology for a complete simulation of Cyber-Physical Energy Systems |
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2018 |
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EESMS 2018 – Environmental, Energy, and Structural Monitoring Systems, Proceedings |
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1-5 |
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MCLab @ davi @ Driouich20181 |
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169 |
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Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.K.; Hayes, B.; Prodanovic, M.; Elmegaard, L. |
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User Flexibility Aware Price Policy Synthesis for Smart Grids |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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478-485 |
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Contracts; Current measurement; Load management; Power demand; Power measurement; State estimation; Substations; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis |
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Sapienza @ preissler @ Mancini_etal2015_3 |
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136 |
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