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The Functional Mockup Interface for Tool independent Exchange of Simulation Models

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TLDR
The Functional Mockup Interface (FMI) as discussed by the authors is a tool independent standard for the exchange of dynamic models and for co-simulation, which was developed by Daimler AG within the ITEA2 project MODELISAR.
Abstract
The Functional Mockup Interface (FMI) is a tool independent standard for the exchange of dynamic models and for co-simulation. The development of FMI was initiated and organized by Daimler AG within the ITEA2 project MODELISAR. The primary goal is to support the exchange of simulation models between suppliers and OEMs even if a large variety of different tools are used. The FMI was developed in a close collaboration between simulation tool vendors and research institutes. In this article an overview about FMI is given and technical details about the solution are discussed.

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Journal ArticleDOI

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

TL;DR: This work reviews the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
Proceedings ArticleDOI

Functional Mockup Interface 2.0: The Standard for Tool independent Exchange of Simulation Models

TL;DR: An overview about the recently published version 2.0 of FMI is given that combines the formerly separated interfaces for Model Exchange and Co-Simulation in one standard.
Journal ArticleDOI

All you need to know about model predictive control for buildings

TL;DR: This paper provides a unified framework for model predictive building control technology with focus on the real-world applications and presents the essential components of a practical implementation of MPC such as different control architectures and nuances of communication infrastructures within supervisory control and data acquisition (SCADA) systems.
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Digital twin paradigm: A systematic literature review

TL;DR: This study aims at clearly tracing the ongoing research and technical challenges in conceiving and building DTs as well, according to different application domains and related technologies, and tries to answer to the previous questions.
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Co-Simulation: A Survey

TL;DR: The need for finding generic approaches for modular, stable, and accurate coupling of simulation units, as well as expressing the adaptations required to ensure that the coupling is correct, is identified.
References
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Journal ArticleDOI

Modelica — A unified object-oriented language for physical systems modeling

TL;DR: This research presents a novel and scalable approaches called “Smart CircuitsTM” for solving the challenge of integrating 3D image recognition and 3D signal recognition to solve the challenges of integrating3D signal processing to manage smart grids.
Proceedings ArticleDOI

Master for Co-Simulation Using FMI

TL;DR: In this paper, the FMI for CoSimulation (FMI-FCM) was used to unify the interface between master and slave simulators and a master was implemented with simple and advanced algorithms which can be applied depending on the properties of the involved slave simulator.
Proceedings ArticleDOI

Implementation of Modelisar Functional Mock-up Interfaces in SimulationX

TL;DR: This document presents the code generation of Functional Mock-up Units (FMU) for Model Exchange and Co-Simulation as well as the import of an FMU into SimulationX.
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