2014
Permissive Controller Synthesis for Probabilistic Systems.
DRAEGER, Klaus; Vojtěch FOREJT; Marta KWIATKOWSKA; David PARKER; Mateusz UJMA et. al.Základní údaje
Originální název
Permissive Controller Synthesis for Probabilistic Systems.
Autoři
DRAEGER, Klaus; Vojtěch FOREJT; Marta KWIATKOWSKA; David PARKER a Mateusz UJMA
Vydání
Berlin, Tools and Algorithms for the Construction and Analysis of Systems, od s. 531-546, 16 s. 2014
Nakladatel
Springer Berlin Heidelberg
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14330/14:00080050
Organizační jednotka
Fakulta informatiky
ISBN
978-3-642-54861-1
ISSN
EID Scopus
2-s2.0-84900537126
Klíčová slova anglicky
controller synthesis; stochastic games; optimisation
Změněno: 27. 4. 2015 05:04, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
We propose novel controller synthesis techniques for probabilistic systems modelled using stochastic two-player games: one player acts as a controller, the second represents its environment, and probability is used to capture uncertainty arising due to, for example, unreliable sensors or faulty system components. Our aim is to generate robust controllers that are resilient to unexpected system changes at runtime, and flexible enough to be adapted if additional constraints need to be imposed. We develop a permissive controller synthesis framework, which generates multi-strategies for the controller, offering a choice of control actions to take at each time step. We formalise the notion of permissiveness using penalties, which are incurred each time a possible control action is blocked by a multi-strategy. Permissive controller synthesis aims to generate a multi-strategy that minimises these penalties, whilst guaranteeing the satisfaction of a specified system property. We establish several key results about the optimality of multi-strategies and the complexity of synthesising them. Then, we develop methods to perform permissive controller synthesis using mixed integer linear programming and illustrate their effectiveness on a selection of case studies.
Návaznosti
| MUNI/33/IP1/2014, interní kód MU |
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