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Alimguzhin, V.; Mari, F.; Melatti, I.; Tronci, E.; Ebeid, E.; Mikkelsen, S.A.; Jacobsen, R.H.; Gruber, J.K.; Hayes, B.; Huerta, F.; Prodanovic, M. |
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Title |
A Glimpse of SmartHG Project Test-bed and Communication Infrastructure |
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Conference Article |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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225-232 |
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Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis |
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Sapienza @ preissler @ Alimguzhin_etal2015 |
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127 |
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Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico |
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Title |
Anytime System Level Verification via Random Exhaustive Hardware In The Loop Simulation |
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Conference Article |
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2014 |
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In Proceedings of 17th EuroMicro Conference on Digital System Design (DSD 2014) |
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MCLab @ davi @ |
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122 |
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Bobbio, Andrea; Ciancamerla, Ester; Di Blasi, Saverio; Iacomini, Alessandro; Mari, Federico; Melatti, Igor; Minichino, Michele; Scarlatti, Alessandro; Tronci, Enrico; Terruggia, Roberta; Zendri, Emilio |
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Title |
Risk analysis via heterogeneous models of SCADA interconnecting Power Grids and Telco networks |
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Conference Article |
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2009 |
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Proceedings of Fourth International Conference on Risks and Security of Internet and Systems (CRiSIS) |
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90-97 |
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The automation of power grids by means of supervisory control and data acquisition (SCADA) systems has led to an improvement of power grid operations and functionalities but also to pervasive cyber interdependencies between power grids and telecommunication networks. Many power grid services are increasingly depending upon the adequate functionality of SCADA system which in turn strictly depends on the adequate functionality of its communication infrastructure. We propose to tackle the SCADA risk analysis by means of different and heterogeneous modeling techniques and software tools. We demonstrate the applicability of our approach through a case study on an actual SCADA system for an electrical power distribution grid. The modeling techniques we discuss aim at providing a probabilistic dependability analysis, followed by a worst case analysis in presence of malicious attacks and a real-time performance evaluation. |
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Fourth International Conference on Risks and Security of Internet and Systems (CRiSIS) |
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yes |
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Sapienza @ mari @ crisis09 |
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17 |
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Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico |
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Title |
Automatic Synthesis of Robust Numerical Controllers |
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Conference Article |
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2007 |
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Icas '07 |
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4 |
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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. |
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IEEE Computer Society |
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0-7695-2859-5 |
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yes |
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Sapienza @ mari @ Dmtimt07 |
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89 |
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Intrigila, Benedetto; Magazzeni, Daniele; Melatti, Igor; Tronci, Enrico |
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Title |
A Model Checking Technique for the Verification of Fuzzy Control Systems |
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Conference Article |
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2005 |
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CIMCA '05: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) |
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536-542 |
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Fuzzy control is well known as a powerful technique for designing and realizing control systems. However, statistical evidence for their correct behavior may be not enough, even when it is based on a large number of samplings. In order to provide a more systematic verification process, the cell-to-cell mapping technology has been used in a number of cases as a verification tool for fuzzy control systems and, more recently, to assess their optimality and robustness. However, cell-to-cell mapping is typically limited in the number of cells it can explore. To overcome this limitation, in this paper we show how model checking techniques may be instead used to verify the correct behavior of a fuzzy control system. To this end, we use a modified version of theMurphi verifier, which ease the modeling phase by allowing to use finite precision real numbers and external C functions. In this way, also already designed simulators may be used for the verification phase. With respect to the cell mapping technique, our approach appears to be complementary; indeed, it explores a much larger number of states, at the cost of being less informative on the global dynamic of the system. |
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IEEE Computer Society |
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Washington, DC, USA |
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0-7695-2504-0-01 |
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yes |
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Sapienza @ mari @ Immt05 |
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75 |
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Author |
Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
Automatic Control Software Synthesis for Quantized Discrete Time Hybrid Systems |
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Conference Article |
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2012 |
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Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA |
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6120-6125 |
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IEEE |
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978-1-4673-2065-8 |
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Techreport version can be found at http://arxiv.org/abs/1207.4098 |
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yes |
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Sapienza @ mari @ cdc12 |
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96 |
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Brizzolari, Francesco; Melatti, Igor; Tronci, Enrico; Della Penna, Giuseppe |
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Title |
Disk Based Software Verification via Bounded Model Checking |
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Conference Article |
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2007 |
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APSEC '07: Proceedings of the 14th Asia-Pacific Software Engineering Conference |
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358-365 |
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One of the most successful approach to automatic software verification is SAT based bounded model checking (BMC). One of the main factors limiting the size of programs that can be automatically verified via BMC is the huge number of clauses that the backend SAT solver has to process. In fact, because of this, the SAT solver may easily run out of RAM. We present two disk based algorithms that can considerably decrease the number of clauses that a BMC backend SAT solver has to process in RAM. Our experimental results show that using our disk based algorithms we can automatically verify programs that are out of reach for RAM based BMC. |
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IEEE Computer Society |
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Washington, DC, USA |
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0-7695-3057-5 |
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yes |
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Sapienza @ mari @ Bmtd07 |
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76 |
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Author |
Tronci, Enrico |
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Title |
Defining Data Structures via Böhm-Out |
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Journal Article |
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1995 |
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J. Funct. Program. |
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5 |
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1 |
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51-64 |
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We show that any recursively enumerable subset of a data structure can be regarded as the solution set to a B??hm-out problem. |
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yes |
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Sapienza @ mari @ jfp95 |
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57 |
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Cesta, Amedeo; Finzi, Alberto; Fratini, Simone; Orlandini, Andrea; Tronci, Enrico |
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Validation and verification issues in a timeline-based planning system |
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Journal Article |
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2010 |
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The Knowledge Engineering Review |
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25 |
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03 |
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299-318 |
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One of the key points to take into account to foster effective introduction of AI planning and scheduling systems in real world is to develop end user trust in the related technologies. Automated planning and scheduling systems often brings solutions to the users which are neither “obvious†nor immediately acceptable for them. This is due to the ability of these tools to take into account quite an amount of temporal and causal constraints and to employ resolution processes often designed to optimize the solution with respect to non trivial evaluation functions. To increase technology trust, the study of tools for verifying and validating plans and schedules produced by AI systems might be instrumental. In general, validation and verification techniques represent a needed complementary technology in developing domain independent architectures for automated problem solving. This paper presents a preliminary report of the issues concerned with the use of two software tools for formal verification of finite state systems to the validation of the solutions produced by MrSPOCK, a recent effort for building a timeline based planning tool in an ESA project. |
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Cambridge University Press |
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Sapienza @ mari @ Cffot10 |
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18 |
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Gribaudo, Marco; Horváth, Andras; Bobbio, Andrea; Tronci, Enrico; Ciancamerla, Ester; Minichino, Michele |
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Title |
Fluid Petri Nets and hybrid model checking: a comparative case study |
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2003 |
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Int. Journal on: Reliability Engineering & System Safety |
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81 |
Issue |
3 |
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239-257 |
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The modeling and analysis of hybrid systems is a recent and challenging research area which is actually dominated by two main lines: a functional analysis based on the description of the system in terms of discrete state (hybrid) automata (whose goal is to ascertain conformity and reachability properties), and a stochastic analysis (whose aim is to provide performance and dependability measures). This paper investigates a unifying view between formal methods and stochastic methods by proposing an analysis methodology of hybrid systems based on Fluid Petri Nets (FPNs). FPNs can be analyzed directly using appropriate tools. Our paper shows that the same FPN model can be fed to different functional analyzers for model checking. In order to extensively explore the capability of the technique, we have converted the original FPN into languages for discrete as well as hybrid as well as stochastic model checkers. In this way, a first comparison among the modeling power of well known tools can be carried out. Our approach is illustrated by means of a ’real world’ hybrid system: the temperature control system of a co-generative plant. |
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Elsevier |
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yes |
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Sapienza @ mari @ ress03 |
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40 |
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