Closed-loop system modeling, validation, and verification

Preuse, Sebastian; Lapp, Hans-Christian; Hanisch, Hans-Michael

doi:10.1109/etfa.2012.6489679

Cited by 21 publications

(11 citation statements)

References 17 publications

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“…Model checking of automation systems can be performed in either open loop or closed loop [3]- [6]. The work [14] references several concrete open-loop and closed-loop approaches.…”

Section: Model Checking Of Automation Systemsmentioning

confidence: 99%

“…Thus, from the safety point of view, closed-loop modeling represents a challenge. By closing the loop, the state space of the model is usually reduced [3], and it is possible that relevant behaviors (that would reveal a design issue) are accidentally filtered out [15].…”

Section: Model Checking Of Automation Systemsmentioning

confidence: 99%

“…Having only the controller model, one can verify systems in open loop [2]: the controller's correctness is checked without considering the environment where it is operating. If the plant model is also available, the more natural closed-loop modeling and verification [3]- [6] become possible.…”

Section: Introductionmentioning

confidence: 99%

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Scalable methods of discrete plant model generation for closed-loop model checking

Buzhinsky

Pakonen

Vyatkin

2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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To facilitate correctness and safety of missioncritical 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.

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“…Model checking of automation systems can be performed in either open loop or closed loop [3]- [6]. The work [14] references several concrete open-loop and closed-loop approaches.…”

Section: Model Checking Of Automation Systemsmentioning

confidence: 99%

Section: Model Checking Of Automation Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Scalable methods of discrete plant model generation for closed-loop model checking

Buzhinsky

Pakonen

Vyatkin

2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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“…Otherwise, a counterexample will be returned. Therefore, TNCESs have been widely applied in verification and validation of industry control systems especially for manufacturing systems [45][46][47]. The verification of a R-TNCES can be performed with the assistance of SESA [30,31].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Verification of Reconfigurable and Energy-Efficient Manufacturing Systems

Zhang

Khalgui

Boussahel

et al. 2015

Discrete Dynamics in Nature and Society

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This paper deals with the formal modeling and verification of reconfigurable and energy-efficient manufacturing systems (REMSs) that are considered as reconfigurable discrete event control systems. A REMS not only allows global reconfigurations for switching the system from one configuration to another, but also allows local reconfigurations on components for saving energy when the system is in a particular configuration. In addition, the unreconfigured components of such a system should continue running during any reconfiguration. As a result, during a system reconfiguration, the system may have several possible paths and may fail to meet control requirements if concurrent reconfiguration events and normal events are not controlled. To guarantee the safety and correctness of such complex systems, formal verification is of great importance during a system design stage. This paper extends the formalism reconfigurable timed net condition/event systems (R-TNCESs) in order to model all possible dynamic behavior in such systems. After that, the designed system based on extended R-TNCESs is verified with the help of a software tool SESA for functional, temporal, and energy-efficient properties. This paper is illustrated by an automatic assembly system.

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“…This explains why numerous research works have been carried out since more than ten years to develop methods that avoid flaws to be introduced during the development of PLC software [1]. These researches are based on two main approaches: model-based (model-driven) engineering [2]- [5] and formal verification and validation (V&V) techniques [6]- [9] or a combination of both [10]. Whatever the interest of the results obtained in these works, it must be noted that all of them are based on models.…”

Section: Introductionmentioning

confidence: 99%

Generation of Single Input Change Test Sequences for Conformance Test of Programmable Logic Controllers

Provost

Roussel

Faure

2014

IEEE Trans. Ind. Inf.

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Conformance test is a functional test technique which is aiming to check whether an implementation, seen as a black-box with inputs/outputs, conforms to its specification. Numerous theoretical worthwhile results have been obtained in the domain of conformance test of finite state machines. The optimization criterion which is usually selected to build the test sequence is the minimum-length criterion. Based on experimental results, this paper focuses on the generation of a Single Input Change (SIC) test sequence from a specification model represented as a Mealy machine; such a sequence is aiming at preventing from erroneous test verdicts due to incorrect detection of synchronous input changes by the Programmable Logic Controller (PLC) under test. A method based on symbolic calculus to obtain the part of the specification that can be tested with a SIC sequence is first presented. Then, an algorithm to build the SIC test sequence is detailed; three solutions are proposed, according to the connectivity properties of the SIC-testable part.

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Closed-loop system modeling, validation, and verification

Cited by 21 publications

References 17 publications

Scalable methods of discrete plant model generation for closed-loop model checking

Scalable methods of discrete plant model generation for closed-loop model checking

Modeling and Verification of Reconfigurable and Energy-Efficient Manufacturing Systems

Generation of Single Input Change Test Sequences for Conformance Test of Programmable Logic Controllers

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