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Poster Abstract: MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints✱

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00139093" target="_blank" >RIV/00216224:14330/24:00139093 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3641513.3652535" target="_blank" >http://dx.doi.org/10.1145/3641513.3652535</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3641513.3652535" target="_blank" >10.1145/3641513.3652535</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Poster Abstract: MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints✱

  • Original language description

    We present MultiGain 2.0, a major extension to the controller synthesis tool MultiGain, built on top of the probabilistic model checker PRISM. This new version extends MultiGain’s multi-objective capabilities, by allowing for the formal verification and synthesis of controllers for probabilistic systems with multidimensional long-run average reward structures, steady-state constraints, and linear temporal logic properties. Additionally, MultiGain 2.0 can modify the underlying linear program to prevent unbounded-memory and other unintuitive solutions and visualizes Pareto curves, in the two- and three-dimensional cases, to facilitate trade-off analysis in multi-objective scenarios.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2024

  • ISBN

    9798400705229

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    1-2

  • Publisher name

    ACM

  • Place of publication

    Hong Kong SAR, China

  • Event location

    Hong Kong SAR, China

  • Event date

    Jan 1, 2024

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article