DRAEGER, Klaus, Vojtěch FOREJT, Marta KWIATKOWSKA, David PARKER and Mateusz UJMA. Permissive Controller Synthesis for Probabilistic Systems. In Erika Ábrahám, Klaus Havelund. Tools and Algorithms for the Construction and Analysis of Systems. Berlin: Springer Berlin Heidelberg. p. 531-546. ISBN 978-3-642-54861-1. doi:10.1007/978-3-642-54862-8_44. 2014.
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Basic information
Original name Permissive Controller Synthesis for Probabilistic Systems.
Authors DRAEGER, Klaus (276 Germany), Vojtěch FOREJT (203 Czech Republic, guarantor, belonging to the institution), Marta KWIATKOWSKA (826 United Kingdom of Great Britain and Northern Ireland), David PARKER (826 United Kingdom of Great Britain and Northern Ireland) and Mateusz UJMA (616 Poland).
Edition Berlin, Tools and Algorithms for the Construction and Analysis of Systems, p. 531-546, 16 pp. 2014.
Publisher Springer Berlin Heidelberg
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/14:00080050
Organization unit Faculty of Informatics
ISBN 978-3-642-54861-1
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-54862-8_44
Keywords in English controller synthesis; stochastic games; optimisation
Tags core_A, firank_A
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2015 05:04.
Abstract
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.
Links
MUNI/33/IP1/2014, interní kód MUName: Podpora perspektivních výzkumných týmů Fakulty informatiky a vynikajících vědeckých pracovníků z jiných institucí působících na Fakultě informatiky (Acronym: PVT-VVPZ)
Investor: Masaryk University
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