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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title (up) 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 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 Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico pdf  doi
openurl 
  Title (up) Anytime System Level Verification via Random Exhaustive Hardware In The Loop Simulation Type Conference Article
  Year 2014 Publication In Proceedings of 17th EuroMicro Conference on Digital System Design (DSD 2014) Abbreviated Journal  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number MCLab @ davi @ Serial 122  
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Author Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico pdf  doi
openurl 
  Title (up) Automated Generation Of Optimal Controllers Through Model Checking Techniques Type Book Chapter
  Year 2008 Publication Informatics in Control Automation and Robotics. Selected Papers from ICINCO 2006 Abbreviated Journal  
  Volume Issue Pages 107-119  
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  Address  
  Corporate Author Thesis  
  Publisher Springer 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 yes  
  Call Number Sapienza @ mari @ Dmtmt08 Serial 26  
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Author Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico pdf  url
doi  openurl
  Title (up) Automated Generation of Optimal Controllers through Model Checking Techniques Type Conference Article
  Year 2006 Publication Icinco-Icso Abbreviated Journal  
  Volume Issue Pages 26-33  
  Keywords  
  Abstract We present a methodology for the synthesis of controllers, which exploits (explicit) model checking techniques. That is, we can cope with the systematic exploration of a very large state space. This methodology can be applied to systems where other approaches fail. In particular, we can consider systems with an highly non-linear dynamics and lacking a uniform mathematical description (model). We can also consider situations where the required control action cannot be specified as a local action, and rather a kind of planning is required. Our methodology individuates first a raw optimal controller, then extends it to obtain a more robust one. A case study is presented which considers the well known truck-trailer obstacle avoidance parking problem, in a parking lot with obstacles on it. The complex non-linear dynamics of the truck-trailer system, within the presence of obstacles, makes the parking problem extremely hard. We show how, by our methodology, we can obtain optimal controllers with different degrees of robustness.  
  Address  
  Corporate Author Thesis  
  Publisher INSTICC Press Place of Publication Editor Andrade-Cetto, J.; Ferrier, J.-L.; Pereira, J. M. C. D.; Filipe, J.  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 972-8865-59-7 ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ Dimmtt06 Serial 79  
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico url  openurl
  Title (up) Automatic Control Software Synthesis for Quantized Discrete Time Hybrid Systems Type Report
  Year 2012 Publication Abbreviated Journal  
  Volume abs/1207.4098 Issue Pages  
  Keywords  
  Abstract Many Embedded Systems are indeed Software Based Control Systems, that is control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of embedded systems control software. This paper addresses control software synthesis for discrete time nonlinear systems. We present a methodology to overapproximate the dynamics of a discrete time nonlinear hybrid system H by means of a discrete time linear hybrid system L(H), in such a way that controllers for L(H) are guaranteed to be controllers for H. We present experimental results on the inverted pendulum, a challenging and meaningful benchmark in nonlinear Hybrid Systems control.  
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  Corporate Author Thesis  
  Publisher CoRR, Technical Report 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 yes  
  Call Number Sapienza @ mari @ Serial 103  
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico pdf  doi
isbn  openurl
  Title (up) 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 Abbreviated Journal  
  Volume Issue Pages 6120-6125  
  Keywords  
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  Address  
  Corporate Author Thesis  
  Publisher IEEE Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-4673-2065-8 Medium  
  Area Expedition Conference  
  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 Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico pdf  doi
openurl 
  Title (up) Automatic Synthesis of Robust Numerical Controllers Type Conference Article
  Year 2007 Publication Icas '07 Abbreviated Journal  
  Volume Issue Pages 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 Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Minichino, Michele; Ciancamerla, Ester; Parisse, Andrea; Tronci, Enrico; Venturini Zilli, Marisa pdf  doi
openurl 
  Title (up) Automatic Verification of a Turbogas Control System with the Mur$\varphi$ Verifier Type Conference Article
  Year 2003 Publication Hybrid Systems: Computation and Control, 6th International Workshop, HSCC 2003 Prague, Czech Republic, April 3-5, 2003, Proceedings Abbreviated Journal  
  Volume Issue Pages 141-155  
  Keywords  
  Abstract Automatic analysis of Hybrid Systems poses formidable challenges both from a modeling as well as from a verification point of view. We present a case study on automatic verification of a Turbogas Control System (TCS) using an extended version of the Mur$\varphi$ verifier. TCS is the heart of ICARO, a 2MW Co-generative Electric Power Plant. For large hybrid systems, as TCS is, the modeling effort accounts for a significant part of the whole verification activity. In order to ease our modeling effort we extended the Mur$\varphi$ verifier by importing the C language long double type (finite precision real numbers) into it. We give experimental results on running our extended Mur$\varphi$ on our TCS model. For example using Mur$\varphi$ we were able to compute an admissible range of values for the variation speed of the user demand of electric power to the turbogas.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor Maler, O.; Pnueli, A.  
  Language Summary Language Original Title  
  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title  
  Series Volume 2623 Series Issue Edition  
  ISSN 3-540-00913-2 ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ Dimmcptz03 Serial 88  
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Author Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa pdf  doi
openurl 
  Title (up) Bounded Probabilistic Model Checking with the Mur$\varphi$ Verifier Type Conference Article
  Year 2004 Publication Formal Methods in Computer-Aided Design, 5th International Conference, FMCAD 2004, Austin, Texas, USA, November 15-17, 2004, Proceedings Abbreviated Journal  
  Volume Issue Pages 214-229  
  Keywords  
  Abstract In this paper we present an explicit verification algorithm for Probabilistic Systems defining discrete time/finite state Markov Chains. We restrict ourselves to verification of Bounded PCTL formulas (BPCTL), that is, PCTL formulas in which all Until operators are bounded, possibly with different bounds. This means that we consider only paths (system runs) of bounded length. Given a Markov Chain $\cal M$ and a BPCTL formula Φ, our algorithm checks if Φ is satisfied in $\cal M$. This allows to verify important properties, such as reliability in Discrete Time Hybrid Systems. We present an implementation of our algorithm within a suitable extension of the Mur$\varphi$ verifier. We call FHP-Mur$\varphi$ (Finite Horizon Probabilistic Mur$\varphi$) such extension of the Mur$\varphi$ verifier. We give experimental results comparing FHP-Mur$\varphi$ with (a finite horizon subset of) PRISM, a state-of-the-art symbolic model checker for Markov Chains. Our experimental results show that FHP-Mur$\varphi$ can effectively handle verification of BPCTL formulas for systems that are out of reach for PRISM, namely those involving arithmetic operations on the state variables (e.g. hybrid systems).  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor Hu, A.J.; Martin, A.K.  
  Language Summary Language Original Title  
  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title  
  Series Volume 3312 Series Issue Edition  
  ISSN 3-540-23738-0 ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ Dimtz04 Serial 87  
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Author Della Penna, Giuseppe; Intrigila, Benedetto; Magazzeni, Daniele; Melatti, Igor; Tronci, Enrico pdf  url
doi  openurl
  Title (up) 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 14-36  
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  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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