On formal cyber physical system properties modeling: A new temporal logic language and a Modelica-based solution

Garro, Alfredo; Tundis, Andrea; Bouskela, Daniel; Jardin, Audrey; Nguyen, Thanh-Hung; Otter, Martin; Fritzson, Peter; Sjölund, Martin; Schamai, Wladimir; Olsson, Hans

doi:10.1109/syseng.2016.7753137

Cited by 22 publications

(8 citation statements)

References 15 publications

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“…6 where also the after keyword is used to specify that a requirement must be evaluated after a condition becomes and holds true for a given time interval. Additional examples and a complete description of the FORM-L syntax and semantics can be found in [15,18].…”

Section: From Natural Language To Formal Requirementsmentioning

confidence: 99%

“…The solution permits the verification of system requirements through simulation by augmenting dynamic models defined with the Modelica language [14] with models that check requirements during simulation based on the FOrmal Requirements Modeling Language (FORM-L) [15]. The novelty of this paper is an integrated process of RE resulting from the integration and extension of the research results achieved within ITEA3 MODRIO (Model Driven Physical Systems Operation) (see, e.g., [16][17][18][19]), a European project that aimed at extending state-of-the-art modeling and simulation environments based on open standards to increase energy and transportation systems safety, dependability and performance throughout their lifecycle [10]. It is worth noting that the usefulness and interest in the presented results are shown by the use of its preliminary versions.…”

Section: Introductionmentioning

confidence: 99%

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Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

et al. 2021

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The increasing complexity of cyber-physical systems (CPSs) makes their design, development and operation extremely challenging. Due to the nature of CPS that involves many heterogeneous components, which are often designed and developed by organizations belonging to different engineering domains, it is difficult to manage, trace and verify their properties, requirements and constraints throughout their lifecycle by using classical techniques. In this context, the paper presents an integrated solution to formally define system requirements and automate their verification through simulation. The solution is based on the FOrmal Requirements Modeling Language and the Modelica language. The solution is exemplified through two case studies concerning a Trailing-Edge High-Lift system and a Heating, Ventilation and Air Conditioning system.

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Section: From Natural Language To Formal Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

et al. 2021

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“…System simulation using models is widely used for analysis, validation and verification. For the design of the physical behaviour, state-of-the-art tools and languages such as MATLAB Simulink or Modelica [36][37][38][39] can be used. Garro et al in [37] define an approach that maps the FORM-L CPS models to Modelica in order to check the consistency of the requirements among themselves.…”

Section: Verification Of the Time-aware Process Modelmentioning

confidence: 99%

Modelling and verifying time‐aware processes for cyber‐physical environments

et al. 2019

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Cyber-physical systems (CPSs) are characterized by a multitude of physical and software. Particularly time-related properties are of paramount importance and they can impact the behaviour of these systems. Designing and verifying CPS while tackling time-related and physical properties are very important steps in the CPS life cycle development. Indeed, it is necessary to capture and characterize the different features and their dependencies with time through expressive models. Then, these models must be verified to prove their correctness. Existing process modelling languages such as business process modelling notation (BPMN) has been widely used to model business processes. However, BPMN lacks several features for modelling rich CPS processes such as those related to time and physical properties. In this study, the authors propose a verification framework for collaborative time-aware CPS processes. In this context, they propose to extend BPMN to support the various CPS concepts and properties. Based on this extension, they propose a consistency verification approach, which aims to verify that the time-related and physical properties associated with each process do not give rise to conflicts. Finally, they propose a compatibility verification approach, which aims to verify that the set of involved CPS processes form consistent inter-CPS processes.

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“…Specifically, after having introduced several theoretical concepts to formally describe dependable requirements, the development of a dedicated library is explained and illustrated on an industrial example taken from the aeronautics domain. Similarly, in [55,56], an open source library for modeling system requirements has been defined, developed, and freely released. Such library, which implements the FORM-L specifications, allows a more formal modeling of requirements as well as their automatic simulation-based verification.…”

Section: Controllevelmentioning

confidence: 99%

Model-Based Dependability Analysis of Physical Systems with Modelica

Tundis

Fritzson

Garro

2017

Modelling and Simulation in Engineering

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Modelica is an innovative, equation-based, and acausal language that allows modeling complex physical systems, which are made of mechanical, electrical, and electrotechnical components, and evaluates their design through simulation techniques. Unfortunately, the increasing complexity and accuracy of such physical systems require new, more powerful, and flexible tools and techniques for evaluating important system properties and, in particular, the dependability ones such as reliability, safety, and maintainability. In this context, the paper describes some extensions of the Modelica language to support the modeling of system requirements and their relationships. Such extensions enable the requirement verification analysis through native constructs in the Modelica language. Furthermore, they allow exporting a Modelica-based system design as a Bayesian Network in order to analyze its dependability by employing a probabilistic approach. The proposal is exemplified through a case study concerning the dependability analysis of a Tank System.

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On formal cyber physical system properties modeling: A new temporal logic language and a Modelica-based solution

Cited by 22 publications

References 15 publications

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

Modelling and verifying time‐aware processes for cyber‐physical environments

Model-Based Dependability Analysis of Physical Systems with Modelica

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