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New workflow enhances Cyber-Physical Systems design with simulation evidence

By PulseAugur Editorial · [1 sources] ·

This paper introduces an evidence-driven workflow to systematically transfer knowledge gained from simulation and operational activities back into design-time models for Cyber-Physical Systems. The proposed method aims to address the challenge of implicitly transferring execution results into persistent design knowledge. The workflow is demonstrated using an Influence Model with a sign-following robot use case, showing how simulation evidence can enhance Influence Models by supporting decisions related to participant pruning, interaction characterization, and validity scope. AI

IMPACT This research could improve the robustness and reliability of complex systems by integrating real-world operational data into the design process.

RANK_REASON The item is an academic paper detailing a new methodology for system design. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

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New workflow enhances Cyber-Physical Systems design with simulation evidence

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The item is an academic paper detailing a new methodology for system design. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Barbara da Silva Oliveira (UniCA, Laboratoire I3S - COMRED, KAIROS), Julien Deantoni (UniCA, Laboratoire I3S - COMRED, KAIROS), Nicolas Ferry (UniCA, Laboratoire I3S - COMRED, KAIROS) ·

    Towards Enriching Design-Time Models with Evidence from Simulation and Operational Activities

    arXiv:2610.13456v1 Announce Type: new Abstract: Cyber-Physical Systems are developed through multiple model based activities, comprising several stages of development. As the development progresses through simulation, experimentation, and operation, observations of system executi…

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