Simulating hybrid SysML models: a model transformation approach under the DEVS framework

Xinquan, Wu; Xuefeng, Yan; Xingchan, Li; Wang, Yongzhen

doi:10.1007/s11227-022-04654-6

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…Following the OMG's MOF, DEVS meta-models are constructed based on the definition of DEVS formalism, including discrete, hybrid and coupled models. Such an approach may facilitate the modelers to use a DEVS-based simulator to confirm complex systems models [16].…”

Section: Behavior-based System For Autonomymentioning

confidence: 99%

The Framework of Modeling and Simulation based-on Swarm Ontology for Autonomous Unmanned Systems

Gao¹,

Xiao²,

Xie³

et al. 2023

Preprint

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For the emerging autonomous swarm technology, from the perspective of systems science and systems engineering, there must be some novel elements and methods to aggregate multiple systems into a group, which distinguish with the general components with specific functions, and we expect to provide the presentation of their existence in the swarm development processes. The inspiration of our methodology origins from the integration of swarm ontology, multi-paradigm modeling, multi-agent system, cyber-physical system, etc. Therefore, we choose the model-driven technology as a framework to acquire an approach of model representation across the multiple levels of abstraction and composition. The autonomous strategic mechanism is defined and formed in parallel with ConOps analysis and systems design, so as to effectively solve the cognitive problem of emergence caused by the nonlinear causation among individual and whole behaviors. This approach highlights to use the MBSE processes and their artifacts to embed the meso mechanism to integrate the operational and the functional, and which means to connect the macro and micro aspects in formalism and so to become a whole with its expected goals, and then to verify and validate within a L-V-C simulation environment.

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Section: Behavior-based System For Autonomymentioning

confidence: 99%

The Framework of Modeling and Simulation based-on Swarm Ontology for Autonomous Unmanned Systems

Gao¹,

Xiao²,

Xie³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Following the OMG's Meta Object Facility (MOF), DEVS metamodels are constructed based on the definition of DEVS formalism, including discrete, hybrid, and coupled models. Such an approach may facilitate the modelers to use a DEVS-based simulator to confirm complex systems models [16].…”

Section: Behavior-based System For Autonomymentioning

confidence: 99%

A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems

Gao

Xiao²,

Xie³

et al. 2023

Applied Sciences

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For the emerging autonomous swarm technology, from the perspective of systems science and Systems Engineering (SE), there must be novel methodologies and elements to aggregate multiple systems into a group, which distinguish the general components with specific functions. Here, we expect to provide a presentation of their existence in swarm development processes. The inspiration for our approach originates from the integration of swarm ontology, multiparadigm modeling, multiagent systems, cyber-physical systems, etc. Therefore, we chose the model-driven architecture as a framework to provide a method of model representation across the multiple levels of abstraction and composition. The autonomous strategic mechanism was defined and formed in parallel with Concept of Operations (ConOps) analysis and systems design, so as to effectively solve the cognitive problem of emergence caused by nonlinear causation among individual and whole behaviors. Our approach highlights the use of model-based processes and their artifacts in the swarm mechanism to integrate operational and functional models, which means connecting the macro- and micro-aspects in formalism to synthesize a whole with its expected goals, and then to verify and validate within an L-V-C simulation environment.

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A systematic literature review on the mathematical underpinning of model‐based systems engineering

Wach,

Topcu,

Jung

et al. 2024

Systems Engineering

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The International Council on Systems Engineering (INCOSE) has initiated a Future of Systems Engineering (FuSE) program that includes a stream for advancing the theoretical foundations of the discipline of Systems Engineering (SE). A near‐term goal of FuSE is to assess the adequacy of current theoretical foundations of SE. The discipline of SE is converging toward model‐based practices (i.e., MBSE) that have not yet reached the maturity of model‐based practices in other engineering domains. For example, finite element analysis and computational fluid dynamics are grounded in mathematical theory, while, generally, MBSE is not. However, some attempts have been made to underpin MBSE with theoretical richness. This article presents a systematic literature study that surveyed state of the art on providing MBSE with mathematical foundations. Our protocol collected over 2000 publications that were reviewed for inclusion/exclusion, categorized, and analyzed. We provide insights to the type of mathematical theories used, domains of applications, and areas of SE to which the math was applied to, among other analysis. We also provide a synthesized discussion about the field moving forward, emphasizing positive trends along with the negatives and areas of concern. Overall, we found the field to be nascent.

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Simulating hybrid SysML models: a model transformation approach under the DEVS framework

Cited by 6 publications

References 15 publications

The Framework of Modeling and Simulation based-on Swarm Ontology for Autonomous Unmanned Systems

The Framework of Modeling and Simulation based-on Swarm Ontology for Autonomous Unmanned Systems

A Framework of Modeling and Simulation Based on Swarm Ontology for Autonomous Unmanned Systems

A systematic literature review on the mathematical underpinning of model‐based systems engineering

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