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Mixed discrete-continuous simulation for digital Twins

Karanjkar, N and Joshi, SM (2021) Mixed discrete-continuous simulation for digital Twins. In: 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 7-9 Jul 2021, pp. 422-429.

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Official URL: https://doi.org/10.5220/0010580804220429

Abstract

The advent of Digital Twins has precipitated the need for an open and flexible simulation framework with unique design considerations. A key requirement of such a framework is the ability to simulate systems containing a mix of discrete and continuous processes that may interact with each other. In this paper, we propose a framework for mixed discrete-continuous simulations particularly targeted for Digital Twin applications. The framework is based on SimPy, a popular discrete-event simulation library in Python. We first present a systematic approach by which continuous process simulations can be integrated within the event-stepped engine of SimPy. We illustrate the approach using an example. We then discuss the features of the proposed framework and the roadmap for its implementation. Copyright © 2021 by SCITEPRESS � Science and Technology Publications, Lda. All rights reserved.

Item Type: Conference Paper
Publication: Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021
Publisher: SciTePress
Additional Information: The copyright for this article belongs to SciTePress
Keywords: Computer software; Discrete event simulation, Continuous process; Design considerations; Discrete-continuous simulation; Flexible simulation; Roadmap, Digital twin
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 28 Nov 2021 09:43
Last Modified: 28 Nov 2021 09:43
URI: http://eprints.iisc.ac.in/id/eprint/69980

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