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Modelling digital twins as a recursive multi-agent architecture: application to energy management of communicating materials
Hang Wan, Michael David, William Derigent

Modelling digital twins as a recursive multi-agent architecture: application to energy management of communicating materials

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

In recent years, there has been an increasing interest in intelligent product especially for industrial applications. A special intelligent product was proposed ten years ago, and this paradigm was named "communicating material", i.e. materials equipped with micro components able to sense, store and communicate data. Communicating material needs a recursive architecture to be managed with a digital twin. A literature analysis is proposed concerning recursive multi-agent systems and architectures regarding communicating material applicability. The most promising reference architecture was adapted for modelling digital twin of a communicating material under energy constraint. The composition and decomposition mechanisms are detailed to improve energy performance by generating an aggregated product with a global view. An applicative scenario relative to the different aggregation modes between two communicating materials, illustrates the proposed architecture ability.

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Document Information

Document Title Modelling digital twins as a recursive multi-agent architecture: application to energy management of communicating materials
Author / Organization Hang Wan, Michael David, William Derigent
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-84617
Original Source Link Visit Source Page on hal.science »