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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F14%3A00074098%21RIV15-GA0-14330___
rdf:type
skos:Concept n15:Vysledek
rdfs:seeAlso
http://arxiv.org/abs/1402.4995
dcterms:description
A standard approach to optimizing long-run running costs of discrete systems is based on minimizing the mean-payoff, i.e., the long-run average amount of resources (%22energy%22) consumed per transition. However, this approach inherently assumes that the energy source has an unbounded capacity, which is not always realistic. For example, an autonomous robotic device has a battery of finite capacity that has to be recharged periodically, and the total amount of energy consumed between two successive charging cycles is bounded by the capacity. Hence, a controller minimizing the mean-payoff must obey this restriction. In this paper we study the controller synthesis problem for consumption systems with a finite battery capacity, where the task of the controller is to minimize the mean-payoff while preserving the functionality of the system encoded by a given linear-time property. A standard approach to optimizing long-run running costs of discrete systems is based on minimizing the mean-payoff, i.e., the long-run average amount of resources (%22energy%22) consumed per transition. However, this approach inherently assumes that the energy source has an unbounded capacity, which is not always realistic. For example, an autonomous robotic device has a battery of finite capacity that has to be recharged periodically, and the total amount of energy consumed between two successive charging cycles is bounded by the capacity. Hence, a controller minimizing the mean-payoff must obey this restriction. In this paper we study the controller synthesis problem for consumption systems with a finite battery capacity, where the task of the controller is to minimize the mean-payoff while preserving the functionality of the system encoded by a given linear-time property.
dcterms:title
Minimizing Running Costs in Consumption Systems Minimizing Running Costs in Consumption Systems
skos:prefLabel
Minimizing Running Costs in Consumption Systems Minimizing Running Costs in Consumption Systems
skos:notation
RIV/00216224:14330/14:00074098!RIV15-GA0-14330___
n4:aktivita
n22:P
n4:aktivity
P(GAP202/10/1469)
n4:dodaniDat
n18:2015
n4:domaciTvurceVysledku
n10:1762834 n10:2158507 n10:7285132 n10:9872655
n4:druhVysledku
n20:D
n4:duvernostUdaju
n11:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
29476
n4:idVysledku
RIV/00216224:14330/14:00074098
n4:jazykVysledku
n16:eng
n4:klicovaSlova
controller synthesis; consumption systems; mean payoff
n4:klicoveSlovo
n9:mean%20payoff n9:controller%20synthesis n9:consumption%20systems
n4:kontrolniKodProRIV
[FB20BDE7342D]
n4:mistoKonaniAkce
Vídeň
n4:mistoVydani
Neuveden
n4:nazevZdroje
Computer Aided Verification
n4:obor
n21:IN
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:projekt
n5:GAP202%2F10%2F1469
n4:rokUplatneniVysledku
n18:2014
n4:tvurceVysledku
Brázdil, Tomáš Klaška, David Novotný, Petr Kučera, Antonín
n4:typAkce
n19:WRD
n4:zahajeniAkce
2014-01-01+01:00
s:issn
0302-9743
s:numberOfPages
16
n8:doi
10.1007/978-3-319-08867-9_30
n14:hasPublisher
Springer International Publishing
n7:isbn
9783319088662
n23:organizacniJednotka
14330