Modelling cyber-physical systems: some issues and directions

Galvão, Joel; Machado, José; Prisăcaru, Gheorghe; Olaru, Dumitru; Bujoreanu, Carmen

doi:10.1088/1757-899x/444/4/042007

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Cyber-twin is also beneficial in AI-enabled healthcare for decision-and predictionmaking especially in the situations where it seems difficult for the physicians to take the decision about any medical treatment for any patient. Digital twin has the ability to make the decisions based on reallife situations [24]. (2) Manufacturing: Nowadays, manufacturing industry is looking for the system that can provide high connectivity and should be able to keep a track of the ese applications to manufacturing industry are being supported by cyber-twin.…”

Section: Cyber-twin Applications In Real-world Environmentmentioning

confidence: 99%

Futuristic Cyber-Twin Architecture for 6G Technology to Support Internet of Everything

Juneja

Gahlan

Kautish³

2021

Scientific Programming

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With the rapid growth of Internet of Everything, there is a huge rise in the transportable Internet traffic due to which its associated resources have exceptional obstacles which include reliability, security, expandability, security, and portability which the current available network architectures are unable to deal with. In this paper, an IoT centric cyber-physical twin architecture has been proposed for 6G Technology. The cyber-twin technology helps out in serving stronger communication and also contains several features that help out in assisting communication like maintaining a log record of network data and managing all digital assets like images, audio, video, and so forth. These features of the cyber-twin technology enable the proposed network to deal with those exceptional obstacles and make the system more reliable, safe, workable, and adaptable.

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Section: Cyber-twin Applications In Real-world Environmentmentioning

confidence: 99%

Futuristic Cyber-Twin Architecture for 6G Technology to Support Internet of Everything

Juneja

Gahlan

Kautish³

2021

Scientific Programming

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“…A feedback mechanism between the embedded computer and physical process is used for modelling and design of such systems [1]. Therefore, accurate modelling of CPS is one of the crucial factors for their efficient and economical operation [2].…”

Section: Introductionmentioning

confidence: 99%

Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines

et al. 2021

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Accurate modelling and simulation of a nuclear power plant are important factors in the strategic planning and maintenance of the plant. Several nonlinearities and multivariable couplings are associated with real-world plants. Therefore, it is quite challenging to model such cyberphysical systems using conventional mathematical equations. A visual analytics approach which addresses these limitations and models both short term as well as long term behaviour of the system is introduced. Principal Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) is used to extract features from the data, k-means clustering is applied to label the data instances. Finite state machine representation formulated from the clustered data is then used to model the behaviour of cyberphysical systems using system states and state transitions. In this paper, the indicated methodology is deployed over time-series data collected from a nuclear power plant for nine years. It is observed that this approach of combining the machine learning principles with the finite state machine capabilities facilitates feature exploration, visual analysis, pattern discovery, and effective modelling of nuclear power plant data. In addition, finite state machine representation supports identification of normal and abnormal operation of the plant, thereby suggesting that the given approach captures the anomalous behaviour of the plant.

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Information and thermodynamic fundamentals of cyber physical systems modeling

Korshunov

Polyakov

2020

J. Phys.: Conf. Ser.

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The issues of cyber physical systems modeling are considered. The criteria of information and energy efficiency for cyber physical systems as the main object of innovation are proposed. The creation of cyber physical systems is proposed to be considered within the framework of structured problem areas and related tasks of disclosing uncertainty when creating innovations. Structures of problem areas, including databases and knowledge bases, determine the possibility of composition and decomposition of cyber physical systems. It is proposed to use models of thermodynamic and informational entropy to formulate goals and evaluate the properties of cyber physical systems. The use of informational entropy is obvious, the use of thermodynamic entropy and energy efficiency estimates are determined by global problems and trends in innovation. These include, inter alia, the transition from energy-intensive technologies and industries to high-tech. The issues of the relationship of thermodynamic and informational entropy are considered. The transition to the presentation of the life cycle of cyber physical systems at the levels of the problem domain and the further transition to the end-to-end digital life cycle are proposed to be performed by decomposing the goal and applying system and process models.

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Modelling cyber-physical systems: some issues and directions

Cited by 3 publications

References 13 publications

Futuristic Cyber-Twin Architecture for 6G Technology to Support Internet of Everything

Futuristic Cyber-Twin Architecture for 6G Technology to Support Internet of Everything

Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines

Information and thermodynamic fundamentals of cyber physical systems modeling

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