Hierarchical supervisory control under partial observation: Normality
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985840%3A_____%2F23%3A00579254" target="_blank" >RIV/67985840:_____/23:00579254 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989592:15310/23:73620790
Výsledek na webu
<a href="https://doi.org/10.1109/TAC.2023.3257232" target="_blank" >https://doi.org/10.1109/TAC.2023.3257232</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TAC.2023.3257232" target="_blank" >10.1109/TAC.2023.3257232</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Hierarchical supervisory control under partial observation: Normality
Popis výsledku v původním jazyce
Conditions preserving observability of specifications between the plant and its abstraction are essential for hierarchical supervisory control of discrete-event systems under partial observation. Observation consistency and local observation consistency were identified as such conditions. To preserve normality, only observation consistency is required. Although observation consistency preserves normality between the levels for normal specifications, for specifications that are not normal, observation consistency is insufficient to guarantee that the supremal normal sublanguage computed on the low level and on the high level coincide. We define modified observation consistency, under which the supremal normal sublanguages of different levels coincide. We show that the verification of (modified) observation consistency is -hard for finite automata and undecidable for slightly more expressive models than finite automata. Decidability of (modified) observation consistency is an open problem. Hence we further discuss two stronger conditions that are easy to verify. Finally, we illustrate the conditions on an example of a railroad controller and on a case study of a part of an MRI scanner.
Název v anglickém jazyce
Hierarchical supervisory control under partial observation: Normality
Popis výsledku anglicky
Conditions preserving observability of specifications between the plant and its abstraction are essential for hierarchical supervisory control of discrete-event systems under partial observation. Observation consistency and local observation consistency were identified as such conditions. To preserve normality, only observation consistency is required. Although observation consistency preserves normality between the levels for normal specifications, for specifications that are not normal, observation consistency is insufficient to guarantee that the supremal normal sublanguage computed on the low level and on the high level coincide. We define modified observation consistency, under which the supremal normal sublanguages of different levels coincide. We show that the verification of (modified) observation consistency is -hard for finite automata and undecidable for slightly more expressive models than finite automata. Decidability of (modified) observation consistency is an open problem. Hence we further discuss two stronger conditions that are easy to verify. Finally, we illustrate the conditions on an example of a railroad controller and on a case study of a part of an MRI scanner.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Transactions on Automatic Control
ISSN
0018-9286
e-ISSN
1558-2523
Svazek periodika
68
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
13
Strana od-do
7286-7298
Kód UT WoS článku
001122871700098
EID výsledku v databázi Scopus
2-s2.0-85151331378