ImocaGen: A Model-based Code Generator for Embedded Systems Tuning

Guillou, Goulven; Babau, Jean-Philippe

doi:10.5220/0005804103900396

Cited by 2 publications

(1 citation statement)

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“…Our approach concerns model-based ad-hoc architecture for integration purpose. The main difference from the literature is that we are interested in simulation while most focus on design and verification as some works about CPS and robot control ( [20], [21], [18], [19], [7]).…”

Section: Related Workmentioning

confidence: 99%

CARES, a framework for CPS simulation : application to autonomous underwater vehicle navigation function

Salmon

Pillain

Guillou

et al. 2021

2021 Forum on Specification &Amp; Design Languages (FDL)

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One key objective of Cyber-Physical System (CPS) simulation is to evaluate different CPS configurations regarding a certain user objective. First, simulation of CPS necessitates frameworks to handle heterogeneity of CPS components (the software and hardware system control, the behavior of the CPS itself and its physical environment). Then, to build simulators, designers use paradigms like FMI (Functional Mock-Up Interface) that proposes a data-driven generic interface facilitating the integration of heterogeneous models. However, in order to facilitate simulation configuration, an approach is required to drive modeling of parametric features and operational conditions. In this paper, we present CARES, a component-based and modeldriven approach to facilitate CPS simulation. CARES is applied to evaluate an Autonomous Underwater Vehicle (AUV) navigation function by simulation. The proposed models integrate both the principles of a generic simulation (integration of Component Based Software Engineering CBSE concepts and FMI paradigm) and domain specific aspects through a component-based architecture style. From a design model, a code generator builds the structural (Java or C++) code of the simulator. The generated code relies on a given run-time library for its execution and its structure facilitates integration of domain-specific code. The experiments show the effectiveness of the approach to build simulators for evaluation of different AUV configurations.

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Section: Related Workmentioning

confidence: 99%

CARES, a framework for CPS simulation : application to autonomous underwater vehicle navigation function

Salmon

Pillain

Guillou

et al. 2021

2021 Forum on Specification &Amp; Design Languages (FDL)

Self Cite

View full text Add to dashboard Cite

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NAVIDRO, a CARES architectural style for configuring drone co-simulation

Salmon,

Pillain,

Guillou

et al. 2024

ACM Trans. Embed. Comput. Syst.

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One primary objective of drone simulation is to evaluate diverse drone configurations and contexts aligned with specific user objectives. The initial challenge for simulator designers involves managing the heterogeneity of drone components, encompassing both software and hardware systems, as well as the drone’s behavior. To facilitate the integration of these diverse models, the Functional Mock-Up Interface (FMI) for Co-Simulation proposes a generic data-oriented interface. However, an additional challenge lies in simplifying the configuration of co-simulation, necessitating an approach to guide the modeling of parametric features and operational conditions such as failures or environment changes. The paper addresses this challenge by introducing CARES, a Model-Driven Engineering (MDE) and component-based approach for designing drone simulators, integrating the Functional Mock-Up Interface (FMI) for Co-Simulation. The proposed models incorporate concepts from Component-Based Software Engineering (CBSE) and FMI. The NAVIDRO architectural style is presented for designing and configuring drone co-simulation. CARES utilizes a code generator to produce structural glue code (Java or C++), facilitating the integration of FMI-based domain-specific code. The approach is evaluated through the development of a simulator for navigation functions in an Autonomous Underwater Vehicle (AUV), demonstrating its effectiveness in assessing various AUV configurations and contexts.

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ImocaGen: A Model-based Code Generator for Embedded Systems Tuning

Cited by 2 publications

References 0 publications

CARES, a framework for CPS simulation : application to autonomous underwater vehicle navigation function

CARES, a framework for CPS simulation : application to autonomous underwater vehicle navigation function

NAVIDRO, a CARES architectural style for configuring drone co-simulation

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