A framework for modeling and analyzing cyber-physical systems using statistical model checking

Alshalalfah, Abdel-Latif; Mohamed, Otmane Aït; Ouchani, Samir

doi:10.1016/j.iot.2023.100732

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…However, accurate models have the potential to reach risk-free simulation of system behavior even in extreme scenarios. To address the challenges of CPS modeling and design, the research of (Alshalalfah, et al, 2023) uses the INCOSE/OMG System Modelling Language (SysML), (Friedenthal, et al, 2011) standard to accurately specify CPSs. A limited number of SysML elements are defined to accurately capture the meaning of continuous and discrete time system behaviors.…”

Section: Related Workmentioning

confidence: 99%

Verification of Railway Control Systems Using Model Checking and CTL, Explained Through a Case Study

Lukács,

Bartha

2024

Period. Polytech. Transp. Eng.

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Systematic faults can often occur during the development of a system. The later such faults are discovered, the more expensive it can be to correct them. In systems engineering practice, there are many methods and tools to reduce the likelihood of systematic faults. In this paper, we present the application of a formal model–based verification technique – called model checking – to assist railway engineers in designing and verifying the safety-related functionality of railway control systems. The proposed process is part of a specification-verification environment that facilitates the construction of correct, complete, consistent, and verifiable functional specifications during development. The results and experience in model checking are illustrated by a case study of a vehicle detection point, a common component in this domain. The model checking of the case study has been performed in the widely used UPPAAL modeling and simulation framework, which can also verify formal properties and generate a counterexample in case of a property violation. By analyzing the counterexample, the designer can gain insights into the system's behavior and identify potential design flaws or failures. Model checking can be used to achieve a higher quality functional specification that is typically more complete and/or contains fewer faults compared to the traditional development approach.

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Section: Related Workmentioning

confidence: 99%

Verification of Railway Control Systems Using Model Checking and CTL, Explained Through a Case Study

Lukács,

Bartha

2024

Period. Polytech. Transp. Eng.

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“…Additionally, a communication protocol to send/receive information in both subsystems is needed. In cyberphysical systems, a mathematical tool called hybrid automata is used that provides the possibility of modeling digital and analog variables and allows the use of time delays that are important for the system to communicate with its digital twin [7][8][9]. The cyber-physical systems (CPS) must be in real-time communication to be able to verify information about the process.…”

Section: Introductionmentioning

confidence: 99%

Cyberphysical System Modeled with Complex Networks and Hybrid Automata to Diagnose Multiple and Concurrent Faults in Manufacturing Systems

Velazquez,

Martell,

Sanchez

et al. 2023

Applied Sciences

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Cyber–physical systems use digital twins to provide advanced monitoring and control functions, including self-diagnosis. The digital twin is often conceptualized as a 3D model, but mathematical models implemented in numerical simulations are required to reproduce the dynamical and functional characteristics of physical systems. In this work, a cyber–physical system scheme is proposed to monitor and diagnose failures. The virtual system, embedded at the supervisory control level, combines concepts from complex networks and hybrid automata to detect failures in the hardware components and in the execution of the sequential logic control. An automated storage and retrieval system is presented as a case study to show the applicability of the proposed scheme. The functional test and the obtained results validate the implemented system that is shown to be capable of fault diagnosis and location in real time. The online execution of the digital twin present several advantages for diagnosing multiple concurrent failures in sensors, actuators, and the control unit. This approach can be incorporate into diverse manufacturing systems.

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A comprehensive survey of UPPAAL‐assisted formal modeling and verification

Zhou,

Zhao,

Zhang

et al. 2024

Softw Pract Exp

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UPPAAL is a formal modeling and verification tool based on timed automata, capable of effectively analyzing real‐time software and hardware systems. In this article, we investigate research on UPPAAL‐assisted formal modeling and verification. First, we propose four research questions considering tool characteristics, modeling methods, verification means and application domains. Then, the state‐of‐the‐art methods for model specification and verification in UPPAAL are discussed, involving model transformation, model repair, property specification, as well as verification and testing methods. Next, typical application cases of formal modeling and verification assisted by UPPAAL are analyzed, spanning across domains such as network protocol, multi‐agent system, cyber‐physical system, rail traffic and aerospace systems, cloud and edge computing systems, as well as biological and medical systems. Finally, we address the four proposed questions based on our survey and outline future research directions. By responding to these questions, we aim to provide summaries and insights into potential avenues for further exploration in this field.

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A framework for modeling and analyzing cyber-physical systems using statistical model checking

Cited by 5 publications

References 23 publications

Verification of Railway Control Systems Using Model Checking and CTL, Explained Through a Case Study

Verification of Railway Control Systems Using Model Checking and CTL, Explained Through a Case Study

Cyberphysical System Modeled with Complex Networks and Hybrid Automata to Diagnose Multiple and Concurrent Faults in Manufacturing Systems

A comprehensive survey of UPPAAL‐assisted formal modeling and verification

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