SVOREŇOVÁ, Mária, Ivana ČERNÁ and Calin BELTA. Optimal Temporal Logic Control for Deterministic Transition Systems with Probabilistic Penalties. IEEE Transactions on Automatic Control. IEEE Control Systems Society, 2015, vol. 60, No 6, p. 1528-1541. ISSN 0018-9286. Available from: https://dx.doi.org/10.1109/TAC.2014.2381451.
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Basic information
Original name Optimal Temporal Logic Control for Deterministic Transition Systems with Probabilistic Penalties
Authors SVOREŇOVÁ, Mária (703 Slovakia, belonging to the institution), Ivana ČERNÁ (203 Czech Republic, guarantor, belonging to the institution) and Calin BELTA (840 United States of America).
Edition IEEE Transactions on Automatic Control, IEEE Control Systems Society, 2015, 0018-9286.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 2.777
RIV identification code RIV/00216224:14330/15:00080609
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1109/TAC.2014.2381451
UT WoS 000355316200006
Keywords in English optimal control; linear temporal logic (LTL)
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Ivana Černá, CSc., učo 1419. Changed: 16/7/2018 15:56.
Abstract
We consider an optimal control problem for a weighted deterministic transition system required to satisfy a constraint expressed as a Linear Temporal Logic (LTL) formula over its labels. By assuming that the executions of the system incur time-varying penalties modeled as Markov chains, our goal is to minimize the expected average cumulative penalty incurred between consecutive satisfactions of a desired property. Using concepts from theoretical computer science, we provide two solutions to this problem. First, we derive a provably correct optimal strategy within the class of strategies that do not exploit values of penalties sensed in real time. Second, we show that by taking advantage of locally sensing the penalties, we can construct heuristic strategies leading to lower collected penalty. While still ensuring satisfaction of the LTL constraint, we cannot guarantee optimality in the latter case. We provide a user-friendly implementation of the proposed algorithms and analysis of two case studies.
Links
GAP202/11/0312, research and development projectName: Vývoj a verifikace softwarových komponent v zapouzdřených systémech (Acronym: Components in Embedded Systems)
Investor: Czech Science Foundation
LH11065, research and development projectName: Řízení a ověřování vlastností komplexních hybridních systémů (Acronym: Řízení a ověřování vlastností komplexních hybridní)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
MUNI/A/1206/2014, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A
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