| Records |
| Author |
Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.K.; Hayes, B.; Prodanovic, M.; Elmegaard, L. |
| Title |
User Flexibility Aware Price Policy Synthesis for Smart Grids |
Type |
Conference Article |
| Year |
2015 |
Publication |
Digital System Design (DSD), 2015 Euromicro Conference on |
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| Volume |
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Issue |
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Pages  |
478-485 |
| Keywords |
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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no |
| Call Number |
Sapienza @ preissler @ Mancini_etal2015_3 |
Serial |
136 |
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| Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
| Title |
From Boolean Relations to Control Software |
Type |
Conference Article |
| Year |
2011 |
Publication |
Proceedings of ICSEA 2011, The Sixth International Conference on Software Engineering Advances |
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| Volume |
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Issue |
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Pages |
528-533 |
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| Abstract |
Many software as well digital hardware automatic synthesis methods define the set of implementations meeting the given system specifications with a boolean relation K. In such a context a fundamental step in the software (hardware) synthesis process is finding effective solutions to the functional equation defined by K. This entails finding a (set of) boolean function(s) F (typically represented using OBDDs, Ordered Binary Decision Diagrams) such that: 1) for all x for which K is satisfiable, K(x, F(x)) = 1 holds; 2) the implementation of F is efficient with respect to given implementation parameters such as code size or execution time. While this problem has been widely studied in digital hardware synthesis, little has been done in a software synthesis context. Unfortunately the approaches developed for hardware synthesis cannot be directly used in a software context. This motivates investigation of effective methods to solve the above problem when F has to be implemented with software. In this paper we present an algorithm that, from an OBDD representation for K, generates a C code implementation for F that has the same size as the OBDD for F and a WCET (Worst Case Execution Time) linear in nr, being n = |x| the number of input arguments for functions in F and r the number of functions in F. |
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| Publisher |
ThinkMind |
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978-1-61208-165-6 |
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| Notes |
Best Paper Award |
Approved |
yes |
| Call Number |
Sapienza @ mari @ icsea11 |
Serial |
14 |
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| Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico; Alvisi, Lorenzo; Clement, Allen; Li, Harry |
| Title |
Model Checking Coalition Nash Equilibria in MAD Distributed Systems |
Type |
Conference Article |
| Year |
2009 |
Publication |
Stabilization, Safety, and Security of Distributed Systems, 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings |
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Issue |
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Pages |
531-546 |
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We present two OBDD based model checking algorithms for the verification of Nash equilibria in finite state mechanisms modeling Multiple Administrative Domains (MAD) distributed systems with possibly colluding agents (coalitions) and with possibly faulty or malicious nodes (Byzantine agents). Given a finite state mechanism, a proposed protocol for each agent and the maximum sizes f for Byzantine agents and q for agents collusions, our model checkers return Pass if the proposed protocol is an ε-f-q-Nash equilibrium, i.e. no coalition of size up to q may have an interest greater than ε in deviating from the proposed protocol when up to f Byzantine agents are present, Fail otherwise. We implemented our model checking algorithms within the NuSMV model checker: the first one explicitly checks equilibria for each coalition, while the second represents symbolically all coalitions. We present experimental results showing their effectiveness for moderate size mechanisms. For example, we can verify coalition Nash equilibria for mechanisms which corresponding normal form games would have more than $5 \times 10^21$ entries. Moreover, we compare the two approaches, and the explicit algorithm turns out to outperform the symbolic one. To the best of our knowledge, no model checking algorithm for verification of Nash equilibria of mechanisms with coalitions has been previously published. |
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Springer |
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Guerraoui, R.; Petit, F. |
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Lecture Notes in Computer Science |
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5873 |
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yes |
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Sapienza @ mari @ sss09 |
Serial |
19 |
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| Author |
Intrigila, Benedetto; Magazzeni, Daniele; Melatti, Igor; Tronci, Enrico |
| Title |
A Model Checking Technique for the Verification of Fuzzy Control Systems |
Type |
Conference Article |
| Year |
2005 |
Publication |
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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Pages |
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 |
Place of Publication |
Washington, DC, USA |
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0-7695-2504-0-01 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ Immt05 |
Serial |
75 |
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| Author |
Toni Mancini; Enrico Tronci; Ivano Salvo; Federico Mari; Annalisa Massini; Igor Melatti |
| Title |
Computing Biological Model Parameters by Parallel Statistical Model Checking |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015) |
Abbreviated Journal |
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| Volume |
9044 |
Issue |
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Pages |
542-554 |
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no |
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MCLab @ davi @ |
Serial |
124 |
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| Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
| Title |
Linear Constraints as a Modeling Language for Discrete Time Hybrid Systems |
Type |
Conference Article |
| Year |
2012 |
Publication |
Proceedings of ICSEA 2012, The Seventh International Conference on Software Engineering Advances |
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Issue |
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Pages |
664-671 |
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ThinkMind |
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Approved |
yes |
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Sapienza @ mari @ icsea12 |
Serial |
98 |
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| Author |
Hayes, B. P. ; Melatti, I.; Mancini, T.; Prodanovic, M.; Tronci, E. |
| Title |
Residential Demand Management using Individualised Demand Aware Price Policies |
Type |
Journal Article |
| Year |
2017 |
Publication |
IEEE Transactions On Smart Grid |
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8 |
Issue |
3 |
Pages |
1284-1294 |
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no |
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MCLab @ davi @ |
Serial |
157 |
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| Author |
Alimguzhin, V.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E. |
| Title |
Linearising Discrete Time Hybrid Systems |
Type |
Journal Article |
| Year |
2017 |
Publication |
IEEE Transactions on Automatic Control |
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| Volume |
62 |
Issue |
10 |
Pages |
5357-5364 |
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| Abstract |
Model Based Design approaches for embedded systems aim at generating correct-by-construction control software, guaranteeing that the closed loop system (controller and plant) meets given system level formal specifications. This technical note addresses control synthesis for safety and reachability properties of possibly non-linear discrete time hybrid systems. By means of syntactical transformations that require non-linear terms to be Lipschitz continuous functions, we over-approximate non-linear dynamics with a linear system whose controllers are guaranteed to be controllers of the original system. We evaluate performance of our approach on meaningful control synthesis benchmarks, also comparing it to a state-of-the-art tool. |
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0018-9286 |
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no |
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Sapienza @ mari @ ref7902199 |
Serial |
164 |
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| Author |
Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
| Title |
Automatic Control Software Synthesis for Quantized Discrete Time Hybrid Systems |
Type |
Conference Article |
| Year |
2012 |
Publication |
Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA |
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Pages |
6120-6125 |
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IEEE |
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978-1-4673-2065-8 |
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| Notes |
Techreport version can be found at http://arxiv.org/abs/1207.4098 |
Approved |
yes |
| Call Number |
Sapienza @ mari @ cdc12 |
Serial |
96 |
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| Author |
Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
| Title |
On Checking Equivalence of Simulation Scripts |
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Journal Article |
| Year |
2021 |
Publication |
Journal of Logical and Algebraic Methods in Programming |
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Issue |
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Pages |
100640 |
| Keywords |
Formal verification, Simulation based formal verification, Formal Verification of cyber-physical systems, System-level formal verification |
| Abstract |
To support Model Based Design of Cyber-Physical Systems (CPSs) many simulation based approaches to System Level Formal Verification (SLFV) have been devised. Basically, these are Bounded Model Checking approaches (since simulation horizon is of course bounded) relying on simulators to compute the system dynamics and thereby verify the given system properties. The main obstacle to simulation based SLFV is the large number of simulation scenarios to be considered and thus the huge amount of simulation time needed to complete the verification task. To save on computation time, simulation based SLFV approaches exploit the capability of simulators to save and restore simulation states. Essentially, such a time saving is obtained by optimising the simulation script defining the simulation activity needed to carry out the verification task. Although such approaches aim to (bounded) formal verification, as a matter of fact, the proof of correctness of the methods to optimise simulation scripts basically relies on an intuitive semantics for simulation scripting languages. This hampers the possibility of formally showing that the optimisations introduced to speed up the simulation activity do not actually omit checking of relevant behaviours for the system under verification. The aim of this paper is to fill the above gap by presenting an operational semantics for simulation scripting languages and by proving soundness and completeness properties for it. This, in turn, enables formal proofs of equivalence between unoptimised and optimised simulation scripts. |
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Edition |
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2352-2208 |
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Approved |
no |
| Call Number |
MCLab @ davi @ Mancini2021100640 |
Serial |
183 |
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