D 2014

Permissive Controller Synthesis for Probabilistic Systems.

DRAEGER, Klaus, Vojtěch FOREJT, Marta KWIATKOWSKA, David PARKER, Mateusz UJMA et. al.

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Keywords in English

controller synthesis; stochastic games; optimisation
Změněno: 27/4/2015 05:04, RNDr. Pavel Šmerk, Ph.D.

Abstract

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.

Links

MUNI/33/IP1/2014, interní kód MU
Name: Podpora perspektivních výzkumných týmů Fakulty informatiky a vynikajících vědeckých pracovníků z jiných institucí působících na Fakultě informatiky (Acronym: PVT-VVPZ)
Investor: Masaryk University