Abstract
To facilitate correctness and safety of mission-critical
automation systems, formal methods should be applied in
addition to simulation and testing. One of such formal
methods is model checking, which is capable of verifying
complex requirements for the system's model. If both the
controller and the controlled plant are formally modeled,
then the variant of this technique called closed-loop
model checking can be applied. Recently, a technique of
automatic plant model generation has been proposed which
is applicable in this scenario. This paper continues the
work in this direction by presenting two plant model
construction approaches which are much more scalable with
respect to the previous one, and puts this work into a
more practical context. The approaches are evaluated on a
case study
from the nuclear automation domain.
Original language | English |
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Title of host publication | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 5483-5488 |
Number of pages | 6 |
ISBN (Electronic) | 9781538611272 |
DOIs | |
Publication status | Published - 15 Dec 2017 |
MoE publication type | A4 Article in a conference publication |
Event | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 43 |
Conference
Conference | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
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Abbreviated title | IECON 2017 |
Country | China |
City | Beijing |
Period | 29/10/17 → 1/11/17 |