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Author Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico pdf  doi
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  Title Automated Generation Of Optimal Controllers Through Model Checking Techniques Type Book Chapter
  Year 2008 Publication (down) Informatics in Control Automation and Robotics. Selected Papers from ICINCO 2006 Abbreviated Journal  
  Volume Issue Pages 107-119  
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  Publisher Springer Place of Publication Editor  
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  Notes Approved yes  
  Call Number Sapienza @ mari @ Dmtmt08 Serial 26  
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Author Böhm, Corrado; Tronci, Enrico doi  openurl
  Title About Systems of Equations, X-Separability, and Left-Invertibility in the lambda-Calculus Type Journal Article
  Year 1991 Publication (down) Inf. Comput. Abbreviated Journal  
  Volume 90 Issue 1 Pages 1-32  
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  Notes Approved yes  
  Call Number Sapienza @ mari @ infcomp91 Serial 59  
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Author Mazzini, Silvia; Puri, Stefano; Mari, Federico; Melatti, Igor; Tronci, Enrico pdf  openurl
  Title Formal Verification at System Level Type Conference Article
  Year 2009 Publication (down) In: DAta Systems In Aerospace (DASIA), Org. EuroSpace, Canadian Space Agency, CNES, ESA, EUMETSAT. Instanbul, Turkey, EuroSpace Abbreviated Journal  
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  Abstract System Level Analysis calls for a language comprehensible to experts with different background and yet precise enough to support meaningful analyses. SysML is emerging as an effective balance between such conflicting goals. In this paper we outline some the results obtained as for SysML based system level functional formal verification by an ESA/ESTEC study, with a collaboration among INTECS and La Sapienza University of Roma. The study focuses on SysML based system level functional requirements techniques.  
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  Notes Approved yes  
  Call Number Sapienza @ mari @ Dasia09 Serial 20  
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Author Mancini, T. pdf  url
openurl 
  Title Now or Never: negotiating efficiently with unknown counterparts Type Journal Article
  Year 2015 Publication (down) In proceedings of the 22nd RCRA International Workshop. Ferrara, Italy. CEUR, 2015 (Co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015)). Abbreviated Journal  
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  Notes Approved no  
  Call Number Sapienza @ preissler @ Mancini2015 Serial 131  
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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico pdf  doi
openurl 
  Title Anytime System Level Verification via Random Exhaustive Hardware In The Loop Simulation Type Conference Article
  Year 2014 Publication (down) In Proceedings of 17th EuroMicro Conference on Digital System Design (DSD 2014) Abbreviated Journal  
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  Notes Approved no  
  Call Number MCLab @ davi @ Serial 122  
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Author Cesta, Amedeo; Finzi, Alberto; Fratini, Simone; Orlandini, Andrea; Tronci, Enrico pdf  openurl
  Title Merging Planning, Scheduling & Verification – A Preliminary Analysis Type Conference Article
  Year 2008 Publication (down) In Proc. of 10th ESA Workshop on Advanced Space Technologies for Robotics and Automation (ASTRA) Abbreviated Journal  
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  Notes Approved yes  
  Call Number Sapienza @ mari @ Astra08 Serial 24  
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Author Cesta, Amedeo; Finzi, Alberto; Fratini, Simone; Orlandini, Andrea; Tronci, Enrico pdf  openurl
  Title Validation and Verification Issues in a Timeline-based Planning System Type Conference Article
  Year 2008 Publication (down) In E-Proc. of ICAPS Workshop on Knowledge Engineering for Planning and Scheduling Abbreviated Journal  
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  Abstract 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 “obviousÃ¢â‚¬Âť 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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  Notes Approved yes  
  Call Number Sapienza @ mari @ Keps08 Serial 25  
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Author Mancini, T.; Melatti, I.; Tronci, E. pdf  doi
openurl 
  Title Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification Type Journal Article
  Year 2021 Publication (down) IEEE Transactions on Software Engineering Abbreviated Journal  
  Volume Issue Pages 1-1  
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  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.  
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  ISSN 1939-3520 ISBN Medium  
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  Notes To appear Approved no  
  Call Number MCLab @ davi @ ref9527998 Serial 191  
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Author Hayes, B. P. ; Melatti, I.; Mancini, T.; Prodanovic, M.; Tronci, E. pdf  url
doi  openurl
  Title Residential Demand Management using Individualised Demand Aware Price Policies Type Journal Article
  Year 2017 Publication (down) IEEE Transactions On Smart Grid Abbreviated Journal  
  Volume 8 Issue 3 Pages 1284-1294  
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  Call Number MCLab @ davi @ Serial 157  
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Author Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E. pdf  doi
openurl 
  Title A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries Type Journal Article
  Year 2021 Publication (down) IEEE Transactions on Industrial Electronics Abbreviated Journal  
  Volume Issue Pages 1-1  
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  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.  
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  Notes To appear Approved no  
  Call Number MCLab @ davi @ ref9513535 Serial 190  
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