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A curated list of Functional Mock-up Interface (FMI) libraries, tools and resources.
FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.
Tool to compare curves from one csv files with curves from other csv files using an adjustable tolerance
FMIExport.jl is a free-to-use software library for the Julia programming language which allows for the export of FMUs (fmi-standard.org) from any Julia-Code. FMIExport.jl is completely integrated into FMI.jl.
FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.
FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language.
Benchmarking building automation and control systems
Simplified C-Interface for fmi2 models. Includes .net wrapper.
FMIBuild.jl holds dependencies that are required to compile and zip a Functional Mock-Up Unit (FMU) compliant to the FMI-standard (fmi-standard.org). Because this dependencies should not be part of the compiled FMU, they are out-sourced into this package. FMIBuild.jl provides the build-commands for the Julia package FMIExport.jl.
FMU data standard and data export with rich metadata in the FMU context
This is a set of environments that support FMU based deep reinforcement learning (DRL) environment.
Web components for Bodylight technology - to support in-browser simulators capable to execute models via standard FMI api, visualise using common chart libraries (chartjs, plotly, dygraph) and Adobe Animate components (exported as createjs components).
Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
Photorealistic Dynamic Simulation Materials for System Dynamics
A collection of FMU sensor models and NMEA sender written in C++
Material for standard text book model of fedbatch cultivation. Updated.
Simulate Co-Simulation FMUs in Unreal Engine 4. (Fork with Linux support, improved build system, more functionality)
A collection of FMUs written in Simulink
Material for standard text book model of batch cultivation. Updated.
Material for standard text book model of batch cultivation where model is calibrated using time series data for substrate and cell concentration. Updated.
Material for standard text book model of batch cultivation where substrate measurement noise added and end of batch detected
Material for standard text book model of perfusion cultivation. Updated.
Material for model of aerated fedbatch cultivation of yeast. Updated.