Co-simulation: The Past, Future, and Open Challenges

Gomes, Cláudio; Thule, Casper; Deantoni, Julien; Larsen, Peter Gorm; Vangheluwe, Hans

doi:10.1007/978-3-030-03424-5_34

Cited by 7 publications

(2 citation statements)

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“…The article Co-simulation: the Past, Future, and Open Challenges [15] (in this issue) provides an interesting historical overview of co-simulation, together with a couple of recent example of co-simulation technology, and some selected discussion points on directions in which the technology might evolve in future.…”

Section: Abstract: Formal Methods Verification Modelling Discretementioning

confidence: 99%

Cyber-Physical Systems Engineering: An Introduction

Gibson

Larsen

Pantel

et al. 2018

Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems

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Section: Abstract: Formal Methods Verification Modelling Discretementioning

confidence: 99%

Cyber-Physical Systems Engineering: An Introduction

Gibson

Larsen

Pantel

et al. 2018

Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems

Self Cite

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“…As a consequence, there has been an increasing number of applications of co-simulation across many domains [24,8,44,19,61,63] Unfortunately, naively connecting inputs to outputs on black boxes does not necessarily imply that the resulting behavior mimics the actual couplings of the subsystem models, which leads to a the identification of a central research question in co-simulation: are the co-simulation results trustworthy? This is not a new question, and the coupling of simulators can be traced back to multi-rate simulation techniques [26]. However, the black box nature of co-simulation makes it unique.…”

Section: Introductionmentioning

confidence: 99%

An empirical survey on co-simulation: Promising standards, challenges and research needs

Schweiger

Gomes

Engel

et al. 2019

Simulation Modelling Practice and Theory

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Co-simulation is a promising approach for the modelling and simulation of complex systems, that makes use of mature simulation tools in the respective domains. It has been applied in wildly different domains, oftentimes without a comprehensive study of the impact to the simulation results. As a consequence, over the recent years, researchers have set out to understand the essential challenges arising from the application of this technique. This paper complements the existing surveys in that the social and empirical aspects were addressed. More than 50 experts participated in a two-stage Delphi study to determine current challenges, research needs and promising standards and tools. Furthermore, an analysis of the strengths, weakness, opportunities and threats of co-simulation utilizing the analytic hierarchy process resulting in a SWOT-AHP analysis is presented. The empirical results of this study show that experts consider the FMI standard to be the most promising standard for continuous time, discrete event and hybrid co-simulation. The results of the SWOT-AHP analysis indicate that factors related to strengths and opportunities predominate. References

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