Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| 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 |
|---|---|
| Abbreviated title | IECON 2017 |
| Country | China |
| City | Beijing |
| Period | 29/10/17 → 1/11/17 |
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Scalable methods of discrete plant model generation for closed-loop model checking. / Buzhinsky, Igor; Pakonen, Antti; Vyatkin, Valeriy.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronic Engineers IEEE, 2017. p. 5483-5488.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Scalable methods of discrete plant model generation for closed-loop model checking
AU - Buzhinsky, Igor
AU - Pakonen, Antti
AU - Vyatkin, Valeriy
N1 - Project code: 113347
PY - 2017/12/15
Y1 - 2017/12/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85046669884&partnerID=8YFLogxK
U2 - 10.1109/IECON.2017.8216949
DO - 10.1109/IECON.2017.8216949
M3 - Conference article in proceedings
SP - 5483
EP - 5488
BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronic Engineers IEEE
ER -