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Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Prodanovic, M.; Gruber, J.K.; Hayes, B.; Elmegaard, L. |
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Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids |
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2014 |
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Proceedings of the 5th IEEE International Conference On Smart Grid Communications (SmartGridComm 2014) |
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UNIROMA1 @ davi @ Tronci_etal2014 |
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43 |
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Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Jacobsen, R. H.; Ebeid, E.; Mikkelsen, S. A.; Prodanovic, M.; Gruber, J. K.; Hayes, B. |
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SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation |
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2014 |
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Proceedings of the Work in Progress Session of DSD/SEAA 2014 |
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978-3-902457-40-0 |
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UNIROMA1 @ davi @ |
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42 |
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Mikkelsen, S.A.; Jacobsen, R.H. |
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Consumer-Centric and Service-Oriented Architecture for the Envisioned Energy Internet |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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301-305 |
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Authorization;Computer architecture;Data privacy;Home appliances;Privacy;Protocols;Smart grids;data privacy;smart grid;web services |
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UNIROMA1 @ davi @ ref7302289 |
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56 |
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Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
Linear Constraints and Guarded Predicates as a Modeling Language for Discrete Time Hybrid Systems |
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2013 |
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International Journal on Advances in Software |
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vol. 6, nr 1&2 |
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155-169 |
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Model-based software design; Linear predicates; Hybrid systems |
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Model based design is particularly appealing insoftware based control systems (e.g., embeddedsoftware) design, since in such a case systemlevel specifications are much easier to definethan the control software behavior itself. Inturn, model based design of embedded systemsrequires modeling both continuous subsystems(typically, the plant) as well as discretesubsystems (the controller). This is typicallydone using hybrid systems. Mixed Integer LinearProgramming (MILP) based abstraction techniqueshave been successfully applied to automatically synthesize correct-by-construction controlsoftware for discrete time linear hybrid systems,where plant dynamics is modeled as a linearpredicate over state, input, and next statevariables. Unfortunately, MILP solvers requiresuch linear predicates to be conjunctions oflinear constraints, which is not a natural way ofmodeling hybrid systems. In this paper we showthat, under the hypothesis that each variableranges over a bounded interval, any linearpredicate built upon conjunction and disjunction of linear constraints can be automaticallytranslated into an equivalent conjunctivepredicate. Since variable bounds play a key rolein this translation, our algorithm includes aprocedure to compute all implicit variable boundsof the given linear predicate. Furthermore, weshow that a particular form of linear predicates,namely guarded predicates, are a natural andpowerful language to succinctly model discretetime linear hybrid systems dynamics. Finally, weexperimentally show the feasibility of ourapproach on an important and challenging casestudy taken from the literature, namely themulti-input Buck DC-DC Converter. As an example,the guarded predicate that models (with 57constraints) a 6-inputs Buck DC-DC Converter istranslated in a conjunctive predicate (with 102linear constraints) in about 40 minutes. |
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Iaria |
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1942-2628 |
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UNIROMA1 @ davi @ Mari_etal2013 |
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22 |
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Mari, F.; Melatti, I.; Salvo, I.; Tronci, E. |
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Model Based Synthesis of Control Software from System Level Formal Specifications |
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2014 |
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Acm Transactions On Software Engineering And Methodology |
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23 |
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1 |
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6 |
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Acm |
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1049-331x |
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UNIROMA1 @ davi @ Mari_etal2014 |
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40 |
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Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Merli, Fabio; Tronci, Enrico |
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System Level Formal Verification via Model Checking Driven Simulation |
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2013 |
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Proceedings of the 25th International Conference on Computer Aided Verification (CAV 2013). July 13–19, 2013, Saint Petersburg, Russia |
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296-312 |
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Springer - Verlag |
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Lecture Notes in Computer Science |
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8044 |
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978-3-642-39798-1 |
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UNIROMA1 @ davi @ Mancini_etal2013 |
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21 |
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Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.K.; Hayes, B.; Prodanovic, M.; Elmegaard, L. |
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User Flexibility Aware Price Policy Synthesis for Smart Grids |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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478-485 |
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Contracts;Current measurement;Load management;Power demand;Power measurement;State estimation;Substations;Grid State Estimation;Peak Shaving;Policy Robustness Verification;Price Policy Synthesis |
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UNIROMA1 @ davi @ ref7302312 |
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58 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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Simulator Semantics for System Level Formal Verification |
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2015 |
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Proceedings Sixth International Symposium on Games, Automata, Logics and Formal Verification (GandALF 2015), |
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UNIROMA1 @ davi @ |
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54 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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System Level Formal Verification via Distributed Multi-Core Hardware in the Loop Simulation |
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Proc. of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP 2014) |
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IEEE Computer Society |
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UNIROMA1 @ davi @ Mancini_etal2014 |
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39 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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Anytime System Level Verification via Random Exhaustive Hardware In The Loop Simulation |
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2014 |
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In Proceedings of 17th EuroMicro Conference on Digital System Design (DSD 2014) |
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UNIROMA1 @ davi @ |
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