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| Author | Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E. | ||||
| Title | An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks | Type | Conference Article | ||
| Year | 2018 | Publication | Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings | Abbreviated Journal | |
| Volume | Issue | Pages | 302-312 | ||
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| Notes | Best Paper | Approved | no | ||
| Call Number | MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18 | Serial | 176 | ||
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| Author | Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico | ||||
| Title | A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software | Type | Report | ||
| Year | 2012 | Publication | Abbreviated Journal | ||
| Volume | abs/1210.2276 | Issue | Pages | ||
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| Abstract | Many Control Systems are indeed Software Based Control Systems, i.e. 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 control software.
Available algorithms and tools (e.g., QKS) may require weeks or even months of computation to synthesize control software for large-size systems. This motivates search for parallel algorithms for control software synthesis. In this paper, we present a map-reduce style parallel algorithm for control software synthesis when the controlled system (plant) is modeled as discrete time linear hybrid system. Furthermore we present an MPI-based implementation PQKS of our algorithm. To the best of our knowledge, this is the first parallel approach for control software synthesis. We experimentally show effectiveness of PQKS on two classical control synthesis problems: the inverted pendulum and the multi-input buck DC/DC converter. Experiments show that PQKS efficiency is above 65%. As an example, PQKS requires about 16 hours to complete the synthesis of control software for the pendulum on a cluster with 60 processors, instead of the 25 days needed by the sequential algorithm in QKS. |
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| Publisher | CoRR, Technical Report | Place of Publication | Editor | ||
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| Notes | Approved | yes | |||
| Call Number | Sapienza @ mari @ | Serial | 101 | ||
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| Author | Tronci, Enrico | ||||
| Title | Optimal Finite State Supervisory Control | Type | Conference Article | ||
| Year | 1996 | Publication | CDC '96: Proceedings of the 35th IEEE International Conference on Decision and Control | Abbreviated Journal | |
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| Abstract | Supervisory Controllers are Discrete Event Dynamic Systems (DEDSs) forming the discrete core of a Hybrid Control System. We address the problem of automatic synthesis of Optimal Finite State Supervisory Controllers (OSCs). We show that Boolean First Order Logic (BFOL) and Binary Decision Diagrams (BDDs) are an effective methodological and practical framework for Optimal Finite State Supervisory Control. Using BFOL programs (i.e. systems of boolean functional equations) and BDDs we give a symbolic (i.e. BDD based) algorithm for automatic synthesis of OSCs. Our OSC synthesis algorithm can handle arbitrary sets of final states as well as plant transition relations containing loops and uncontrollable events (e.g. failures). We report on experimental results on the use of our OSC synthesis algorithm to synthesize a C program implementing a minimum fuel OSC for two autonomous vehicles moving on a 4 x 4 grid. | ||||
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| Publisher | IEEE Computer Society | Place of Publication | Washington, DC, USA | Editor | |
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| Notes | Approved | yes | |||
| Call Number | Sapienza @ mari @ cdc96 | Serial | 67 | ||
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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 | Abbreviated Journal | |
| 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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| ISSN | 0018-9286 | ISBN | Medium |
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| Notes | Approved | no | |||
| Call Number | Sapienza @ mari @ ref7902199 | Serial | 164 | ||
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| Title | Charme | Type | Conference Article | ||
| Year | 2003 | Publication | Lecture Notes in Computer Science | Abbreviated Journal | |
| Volume | 2860 | Issue | Pages | ||
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| Publisher | Springer | Place of Publication | Editor | Geist, D.; Tronci, E. | |
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| ISSN | 3-540-20363-X | ISBN | Medium |
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| Notes | Approved | yes | |||
| Call Number | Sapienza @ mari @ editor-charme03 | Serial | 37 | ||
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| Author | Martinelli, Marco; Tronci, Enrico; Dipoppa, Giovanni; Balducelli, Claudio | ||||
| Title | Electric Power System Anomaly Detection Using Neural Networks | Type | Conference Article | ||
| Year | 2004 | Publication | 8th International Conference on: Knowledge-Based Intelligent Information and Engineering Systems (KES) | Abbreviated Journal | |
| Volume | Issue | Pages | 1242-1248 | ||
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| Abstract | The aim of this work is to propose an approach to monitor and protect Electric Power System by learning normal system behaviour at substations level, and raising an alarm signal when an abnormal status is detected; the problem is addressed by the use of autoassociative neural networks, reading substation measures. Experimental results show that, through the proposed approach, neural networks can be used to learn parameters underlaying system behaviour, and their output processed to detecting anomalies due to hijacking of measures, changes in the power network topology (i.e. transmission lines breaking) and unexpected power demand trend. | ||||
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| Publisher | Springer | Place of Publication | Wellington, New Zealand | Editor | Negoita, M.G.; Howlett, R.J.; Jain, L.C. |
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| Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | ||
| Series Volume | 3213 | Series Issue | Edition | ||
| ISSN | 3-540-23318-0 | ISBN | Medium |
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| Notes | Approved | yes | |||
| Call Number | Sapienza @ mari @ kes04 | Serial | 35 | ||
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