<div class="csl-bib-body">
<div class="csl-entry">Kong, H., Bartocci, E., & Henzinger, T. A. (2018). Reachable Set Over-Approximation for Nonlinear Systems Using Piecewise Barrier Tubes. In H. Chockler & G. Weissenbacher (Eds.), <i>Computer Aided Verification: 30th International Conference, CAV 2018</i> (pp. 449–467). Springer. https://doi.org/10.1007/978-3-319-96145-3_24</div>
</div>
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dc.identifier.isbn
9783319961453
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dc.identifier.isbn
9783319961446
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/57511
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dc.description.abstract
We address the problem of analyzing the reachable set of a polynomial nonlinear continuous system by over-approximating the flowpipe of its dynamics. The common approach to tackle this problem is to perform a numerical integration over a given time horizon based on Taylor expansion and interval arithmetic. However, this method results to be very conservative when there is a large difference in speed between trajectories as time progresses. In this paper, we propose to use combinations of barrier functions, which we call piecewise barrier tube (PBT), to over-approximate flowpipe. The basic idea of PBT is that for each segment of a flowpipe, a coarse box which is big enough to contain the segment is constructed using sampled simulation and then in the box we compute by linear programming a set of barrier functions (called barrier tube or BT for short) which work together to form a tube surrounding the flowpipe. The benefit of using PBT is that (1) BT is independent of time and hence can avoid being stretched and deformed by time; and (2) a small number of BTs can form a tight over-approximation for the flowpipe, which means that the computation required to decide whether the BTs intersect the unsafe set can be reduced significantly. We implemented a prototype called PBTS in C++. Experiments on some benchmark systems show that our approach is effective.
en
dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.title
Reachable Set Over-Approximation for Nonlinear Systems Using Piecewise Barrier Tubes
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Computer Aided Verification: 30th International Conference, CAV 2018
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dc.contributor.editoraffiliation
King's College London, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.isbn
978-3-319-96144-6
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dc.relation.doi
10.1007/978-3-319-96145-3
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dc.relation.issn
0302-9743
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dc.description.startpage
449
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dc.description.endpage
467
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1611-3349
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tuw.booktitle
Computer Aided Verification: 30th International Conference, CAV 2018
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tuw.container.volume
10981
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tuw.peerreviewed
true
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tuw.relation.publisher
Springer
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tuw.relation.publisherplace
Cham
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tuw.book.chapter
24
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tuw.researchTopic.id
I2
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tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E191-01 - Forschungsbereich Cyber-Physical Systems
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tuw.publisher.doi
10.1007/978-3-319-96145-3_24
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dc.description.numberOfPages
19
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tuw.event.name
Computer Aided Verification - 30th International Conference, CAV 2018, Held as Part of the Federated Logic Conference, FloC 2018, Oxford, UK, July 14-17, 2018, Proceedings, Part I
en
tuw.event.startdate
14-07-2018
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tuw.event.enddate
17-07-2018
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Oxford
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tuw.event.country
GB
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tuw.event.presenter
Kong, Hui
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Computer Engineering (CE)
de
wb.facultyfocus
Computer Engineering (CE)
en
wb.facultyfocus.faculty
E180
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wb.presentation.type
science to science/art to art
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item.grantfulltext
none
-
item.fulltext
no Fulltext
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems