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%3A00139092" target="_blank" >RIV/00216224:14330/24:00139092 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3641513.3650135" target="_blank" >http://dx.doi.org/10.1145/3641513.3650135</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3641513.3650135" target="_blank" >10.1145/3641513.3650135</a>
Alternative languages
Result language
angličtina
Original language name
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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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Number of pages
7
Pages from-to
1-7
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
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