| Records |
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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| Volume |
8 |
Issue |
3 |
Pages |
1284-1294 |
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MCLab @ davi @ |
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157 |
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| Author |
Ehrig, R.; Dierkes, T.; Schaefer, S.; Roeblitz, S.; Tronci, E.; Mancini, T.; Salvo, I.; Alimguzhin, V.; Mari, F.; Melatti, I.; Massini, A.; Leeners, B.; Krueger, T.H.C.; Egli, M.; Ille, F. |
| Title |
An integrative approach for model driven computation of treatments in reproductive medicine |
Type |
Conference Article |
| Year |
2015 |
Publication |
Proceedings of the 15th International Symposium on Mathematical and Computational Biology (BIOMAT 2015), Rorkee, India |
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Sapienza @ preissler @ Ehrig_etal2015 |
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144 |
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| Author |
Della Penna, Giuseppe; Tofani, Alberto; Pecorari, Marcello; Raparelli, Orazio; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico |
| Title |
A Case Study on Automated Generation of Integration Tests |
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Conference Article |
| Year |
2006 |
Publication |
Fdl |
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Issue |
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Pages |
278-284 |
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Ecsi |
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978-3-00-019710-9 |
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yes |
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Sapienza @ mari @ Dtprimt06 |
Serial |
27 |
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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 |
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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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Approved |
yes |
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Sapienza @ mari @ Dmtimt07 |
Serial |
89 |
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| Author |
Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico |
| Title |
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 |
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Pages |
107-119 |
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Springer |
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Approved |
yes |
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Sapienza @ mari @ Dmtmt08 |
Serial |
26 |
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| Author |
Della Penna, Giuseppe; Magazzeni, Daniele; Tofani, Alberto; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico |
| Title |
Automated Generation of Optimal Controllers through Model Checking Techniques |
Type |
Conference Article |
| Year |
2006 |
Publication |
Icinco-Icso |
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Issue |
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Pages |
26-33 |
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| 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. |
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INSTICC Press |
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Editor |
Andrade-Cetto, J.; Ferrier, J.-L.; Pereira, J. M. C. D.; Filipe, J. |
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972-8865-59-7 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ Dimmtt06 |
Serial |
79 |
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| Author |
Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa |
| Title |
Finite horizon analysis of Markov Chains with the Mur$\varphi$ verifier |
Type |
Journal Article |
| Year |
2006 |
Publication |
Int. J. Softw. Tools Technol. Transf. |
Abbreviated Journal |
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| Volume |
8 |
Issue |
4 |
Pages |
397-409 |
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| Abstract |
In this paper we present an explicit disk-based verification algorithm for Probabilistic Systems defining discrete time/finite state Markov Chains. Given a Markov Chain and an integer k (horizon), our algorithm checks whether the probability of reaching an error state in at most k steps is below a given threshold. We present an implementation of our algorithm within a suitable extension of the Mur$\varphi$ verifier. We call the resulting probabilistic model checker FHP-Mur$\varphi$ (Finite Horizon Probabilistic Mur$\varphi$). We present 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 handle systems that are out of reach for PRISM, namely those involving arithmetic operations on the state variables (e.g. hybrid systems). |
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Springer-Verlag |
Place of Publication |
Berlin, Heidelberg |
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| ISSN |
1433-2779 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ Dimtz06 |
Serial |
78 |
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| Author |
Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa |
| Title |
Finite Horizon Analysis of Stochastic Systems with the Mur$\varphi$ Verifier |
Type |
Conference Article |
| Year |
2003 |
Publication |
Theoretical Computer Science, 8th Italian Conference, ICTCS 2003, Bertinoro, Italy, October 13-15, 2003, Proceedings |
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Issue |
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Pages |
58-71 |
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| Abstract |
Many reactive systems are actually Stochastic Processes. Automatic analysis of such systems is usually very difficult thus typically one simplifies the analysis task by using simulation or by working on a simplified model (e.g. a Markov Chain). We present a Finite Horizon Probabilistic Model Checking approach which essentially can handle the same class of stochastic processes of a typical simulator. This yields easy modeling of the system to be analyzed together with formal verification capabilities. Our approach is based on a suitable disk based extension of the Mur$\varphi$ verifier. Moreover we present experimental results showing effectiveness of our approach. |
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Springer |
Place of Publication |
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Editor |
Blundo, C.; Laneve, C. |
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Series Title |
Lecture Notes in Computer Science |
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| Series Volume |
2841 |
Series Issue |
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Edition |
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| ISSN |
3-540-20216-1 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ DIMTZ03c |
Serial |
90 |
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| Author |
Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa |
| Title |
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 |
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Issue |
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Pages |
214-229 |
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| 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 |
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Springer |
Place of Publication |
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Editor |
Hu, A.J.; Martin, A.K. |
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Lecture Notes in Computer Science |
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| Series Volume |
3312 |
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| ISSN |
3-540-23738-0 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ Dimtz04 |
Serial |
87 |
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| Author |
Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa |
| Title |
Finite Horizon Analysis of Markov Chains with the Mur$\varphi$ Verifier |
Type |
Conference Article |
| Year |
2003 |
Publication |
Correct Hardware Design and Verification Methods, 12th IFIP WG 10.5 Advanced Research Working Conference, CHARME 2003, L'Aquila, Italy, October 21-24, 2003, Proceedings |
Abbreviated Journal |
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Issue |
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Pages |
394-409 |
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| Abstract |
In this paper we present an explicit disk based verification algorithm for Probabilistic Systems defining discrete time/finite state Markov Chains. Given a Markov Chain and an integer k (horizon), our algorithm checks whether the probability of reaching an error state in at most k steps is below a given threshold. We present an implementation of our algorithm within a suitable extension of the Mur$\varphi$ verifier. We call the resulting probabilistic model checker FHP-Mur$\varphi$ (Finite Horizon Probabilistic Mur$\varphi$). We present 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 handle systems that are out of reach for PRISM, namely those involving arithmetic operations on the state variables (e.g. hybrid systems). |
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Springer |
Place of Publication |
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Editor |
Geist, D.; Tronci, E. |
| Language |
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Summary Language |
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Original Title |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
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| Series Volume |
2860 |
Series Issue |
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Edition |
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| ISSN |
3-540-20363-X |
ISBN |
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Expedition |
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| Notes |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ Dimtz03 |
Serial |
84 |
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