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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title Control Software Visualization Type Conference Article
Year 2012 Publication Proceedings of INFOCOMP 2012, The Second International Conference on Advanced Communications and Computation Abbreviated Journal
Volume Issue Pages (down) 15-20
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Abstract
Address
Corporate Author Thesis
Publisher ThinkMind Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-61208-226-4 ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ infocomp2012 Serial 100
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Author Della Penna, Giuseppe; Intrigila, Benedetto; Magazzeni, Daniele; Melatti, Igor; Tronci, Enrico
Title CGMurphi: Automatic synthesis of numerical controllers for nonlinear hybrid systems Type Journal Article
Year 2013 Publication European Journal of Control Abbreviated Journal European Journal of Control
Volume 19 Issue 1 Pages (down) 14-36
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Abstract
Address
Corporate Author Thesis
Publisher Elsevier North-Holland, Inc. Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0947-3580 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Sapienza @ melatti @ Serial 114
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Author Melatti, Igor; Palmer, Robert; Sawaya, Geoffrey; Yang, Yu; Kirby, Robert Mike; Gopalakrishnan, Ganesh
Title Parallel and distributed model checking in Eddy Type Journal Article
Year 2009 Publication Int. J. Softw. Tools Technol. Transf. Abbreviated Journal
Volume 11 Issue 1 Pages (down) 13-25
Keywords
Abstract Model checking of safety properties can be scaled up by pooling the CPU and memory resources of multiple computers. As compute clusters containing 100s of nodes, with each node realized using multi-core (e.g., 2) CPUs will be widespread, a model checker based on the parallel (shared memory) and distributed (message passing) paradigms will more efficiently use the hardware resources. Such a model checker can be designed by having each node employ two shared memory threads that run on the (typically) two CPUs of a node, with one thread responsible for state generation, and the other for efficient communication, including (1) performing overlapped asynchronous message passing, and (2) aggregating the states to be sent into larger chunks in order to improve communication network utilization. We present the design details of such a novel model checking architecture called Eddy. We describe the design rationale, details of how the threads interact and yield control, exchange messages, as well as detect termination. We have realized an instance of this architecture for the Murphi modeling language. Called Eddy_Murphi, we report its performance over the number of nodes as well as communication parameters such as those controlling state aggregation. Nearly linear reduction of compute time with increasing number of nodes is observed. Our thread task partition is done in such a way that it is modular, easy to port across different modeling languages, and easy to tune across a variety of platforms.
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Corporate Author Thesis
Publisher Springer-Verlag Place of Publication Berlin, Heidelberg Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1433-2779 ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ Mpsykg09 Serial 80
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E.
Title Anytime system level verification via parallel random exhaustive hardware in the loop simulation Type Journal Article
Year 2016 Publication Microprocessors and Microsystems Abbreviated Journal
Volume 41 Issue Pages (down) 12-28
Keywords Model Checking of Hybrid Systems; Model checking driven simulation; Hardware in the loop simulation
Abstract Abstract System level verification of cyber-physical systems has the goal of verifying that the whole (i.e., software + hardware) system meets the given specifications. Model checkers for hybrid systems cannot handle system level verification of actual systems. Thus, Hardware In the Loop Simulation (HILS) is currently the main workhorse for system level verification. By using model checking driven exhaustive HILS, System Level Formal Verification (SLFV) can be effectively carried out for actual systems. We present a parallel random exhaustive HILS based model checker for hybrid systems that, by simulating all operational scenarios exactly once in a uniform random order, is able to provide, at any time during the verification process, an upper bound to the probability that the System Under Verification exhibits an error in a yet-to-be-simulated scenario (Omission Probability). We show effectiveness of the proposed approach by presenting experimental results on SLFV of the Inverted Pendulum on a Cart and the Fuel Control System examples in the Simulink distribution. To the best of our knowledge, no previously published model checker can exhaustively verify hybrid systems of such a size and provide at any time an upper bound to the Omission Probability.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0141-9331 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MCLab @ davi @ Mancini201612 Serial 155
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title Model Based Synthesis of Control Software from System Level Formal Specifications Type Journal Article
Year 2014 Publication ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY Abbreviated Journal ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
Volume 23 Issue 1 Pages (down) Article 6
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Abstract
Address
Corporate Author Thesis
Publisher ACM Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1049-331X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Sapienza @ melatti @ Serial 110
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Author Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico
Title Automatic Synthesis of Robust Numerical Controllers Type Conference Article
Year 2007 Publication Icas '07 Abbreviated Journal
Volume Issue Pages (down) 4
Keywords
Abstract A major problem of numerical controllers is their robustness, i.e. the state read from the plant may not be in the controller table, although it may be close to some states in the table. For continuous systems, this problem is typically handled by interpolation techniques. Unfortunately, when the plant contains both continuous and discrete variables, the interpolation approach does not work well. To cope with this kind of systems, we propose a general methodology that exploits explicit model checking in an innovative way to automatically synthesize a (time-) optimal numerical controller from a plant specification and apply an optimized strengthening algorithm only on the most significant states, in order to reach an acceptable robustness degree. We implemented all the algorithms within our CGMurphi tool, an extension of the well-known CMurphi verifier, and tested the effectiveness of our approach by applying it to the well-known truck and trailer obstacles avoidance problem.
Address
Corporate Author Thesis
Publisher IEEE Computer Society Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0-7695-2859-5 ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ Dmtimt07 Serial 89
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Author Mancini, T.; Melatti, I.; Tronci, E.
Title Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification Type Journal Article
Year 2021 Publication IEEE Transactions on Software Engineering Abbreviated Journal
Volume Issue Pages (down) 1-1
Keywords
Abstract Model-based approaches to the verification of non-terminating Cyber-Physical Systems (CPSs) usually rely on numerical simulation of the System Under Verification (SUV) model under input scenarios of possibly varying duration, chosen among those satisfying given constraints. Such constraints typically stem from requirements (or assumptions) on the SUV inputs and its operational environment as well as from the enforcement of additional conditions aiming at, e.g., prioritising the (often extremely long) verification activity, by, e.g., focusing on scenarios explicitly exercising selected requirements, or avoiding </i>vacuity</i> in their satisfaction. In this setting, the possibility to efficiently sample at random (with a known distribution, e.g., uniformly) within, or to efficiently enumerate (possibly in a uniformly random order) scenarios among those satisfying all the given constraints is a key enabler for the practical viability of the verification process, e.g., via simulation-based statistical model checking. Unfortunately, in case of non-trivial combinations of constraints, iterative approaches like Markovian random walks in the space of sequences of inputs in general fail in extracting scenarios according to a given distribution (e.g., uniformly), and can be very inefficient to produce at all scenarios that are both legal (with respect to SUV assumptions) and of interest (with respect to the additional constraints). For example, in our case studies, up to 91% of the scenarios generated using such iterative approaches would need to be neglected. In this article, we show how, given a set of constraints on the input scenarios succinctly defined by multiple finite memory monitors, a data structure (scenario generator) can be synthesised, from which any-horizon scenarios satisfying the input constraints can be efficiently extracted by (possibly uniform) random sampling or (randomised) enumeration. Our approach enables seamless support to virtually all simulation-based approaches to CPS verification, ranging from simple random testing to statistical model checking and formal (i.e., exhaustive) verification, when a suitable bound on the horizon or an iterative horizon enlargement strategy is defined, as in the spirit of bounded model checking.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1939-3520 ISBN Medium
Area Expedition Conference
Notes To appear Approved no
Call Number MCLab @ davi @ ref9527998 Serial 191
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Author Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E.
Title A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries Type Journal Article
Year 2021 Publication IEEE Transactions on Industrial Electronics Abbreviated Journal
Volume Issue Pages (down) 1-1
Keywords
Abstract Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes To appear Approved no
Call Number MCLab @ davi @ ref9513535 Serial 190
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.; Hayes, B.; Prodanovic, M.; Elmegaard, L.
Title Parallel Statistical Model Checking for Safety Verification in Smart Grids Type Conference Article
Year 2018 Publication 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Abbreviated Journal
Volume Issue Pages (down) 1-6
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Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MCLab @ davi @ mancini-etal:2018:smartgridcomm Serial 170
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico; Alvisi, Lorenzo; Clement, Allen; Li, Harry
Title Model Checking Nash Equilibria in MAD Distributed Systems Type Conference Article
Year 2008 Publication FMCAD '08: Proceedings of the 2008 International Conference on Formal Methods in Computer-Aided Design Abbreviated Journal
Volume Issue Pages (down) 1-8
Keywords Model Checking, MAD Distributed System, Nash Equilibrium
Abstract 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.
Address
Corporate Author Thesis
Publisher IEEE Press Place of Publication Piscataway, NJ, USA Editor Cimatti, A.; Jones, R.
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-4244-2735-2 ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ MarMelSalTroAlvCle08 Serial 93
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