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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 Abbreviated Journal
Volume 8 Issue 3 Pages 1284-1294
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Call Number MCLab @ davi @ Serial 157
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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico
Title Simulator Semantics for System Level Formal Verification Type Conference Article
Year 2015 Publication Proceedings Sixth International Symposium on Games, Automata, Logics and Formal Verification (GandALF 2015), Abbreviated Journal
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Call Number MCLab @ davi @ Serial 125
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title Model Based Synthesis of Control Software from System Level Formal Specifications Type Journal Article
Year 2014 Publication ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY Abbreviated Journal ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
Volume 23 Issue 1 Pages Article 6
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Publisher ACM Place of Publication Editor
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ISSN 1049-331X ISBN Medium
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Call Number Sapienza @ melatti @ Serial 110
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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 Abbreviated Journal
Volume Issue 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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Publisher INSTICC Press Place of Publication Editor Andrade-Cetto, J.; Ferrier, J.-L.; Pereira, J. M. C. D.; Filipe, J.
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ISSN 972-8865-59-7 ISBN Medium
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Call Number Sapienza @ mari @ Dimmtt06 Serial 79
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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 Type Conference Article
Year 2006 Publication Fdl Abbreviated Journal
Volume Issue Pages 278-284
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Publisher Ecsi Place of Publication Editor
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ISSN 978-3-00-019710-9 ISBN Medium
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Notes Approved yes
Call Number Sapienza @ mari @ Dtprimt06 Serial 27
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Author Bobbio, Andrea; Bologna, Sandro; Minichino, Michele; Ciancamerla, Ester; Incalcaterra, Piero; Kropp, Corrado; Tronci, Enrico
Title Advanced techniques for safety analysis applied to the gas turbine control system of Icaro co generative plant Type Conference Article
Year 2001 Publication X Convegno Tecnologie e Sistemi Energetici Complessi Abbreviated Journal
Volume Issue Pages 339-350
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Abstract The paper describes two complementary and integrable approaches, a probabilistic one and a deterministic one, based on classic and advanced modelling techniques for safety analysis of complex computer based systems. The probabilistic approach is based on classical and innovative probabilistic analysis methods. The deterministic approach is based on formal verification methods. Such approaches are applied to the gas turbine control system of ICARO co generative plant, in operation at ENEA CR Casaccia. The main difference between the two approaches, behind the underlining different theories, is that the probabilistic one addresses the control system by itself, as the set of sensors, processing units and actuators, while the deterministic one also includes the behaviour of the equipment under control which interacts with the control system. The final aim of the research, documented in this paper, is to explore an innovative method which put the probabilistic and deterministic approaches in a strong relation to overcome the drawbacks of their isolated, selective and fragmented use which can lead to inconsistencies in the evaluation results.
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Publisher Place of Publication Genova, Italy Editor
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Call Number Sapienza @ mari @ tesec01 Serial 65
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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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Call Number Sapienza @ mari @ cdc96 Serial 67
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Author Tronci, Enrico
Title On Computing Optimal Controllers for Finite State Systems Type Conference Article
Year 1997 Publication CDC '97: Proceedings of the 36th IEEE International Conference on Decision and Control Abbreviated Journal
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Publisher IEEE Computer Society Place of Publication Washington, DC, USA Editor
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Call Number Sapienza @ mari @ cdc97 Serial 66
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Author Cesta, Amedeo; Finzi, Alberto; Fratini, Simone; Orlandini, Andrea; Tronci, Enrico
Title Flexible Plan Verification: Feasibility Results Type Conference Article
Year 2009 Publication 16th RCRA International Workshop on “Experimental evaluation of algorithms for solving problems with combinatorial explosion” (RCRA). Proceedings Abbreviated Journal
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Call Number Sapienza @ mari @ Rcra09 Serial 22
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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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Call Number Sapienza @ mari @ Serial 101
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