arch2023_ainncs_re
Repeatability package for ARCH-COMP 2023 AINNCS
Science Score: 31.0%
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Repository
Repeatability package for ARCH-COMP 2023 AINNCS
Basic Info
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- Stars: 1
- Watchers: 3
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Metadata Files
README.md
ARCH2023 AINNCS
This is the JuliaReach repeatability evaluation (RE) package for the ARCH-COMP 2023 category report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants of the 7th International Competition on Verifying Continuous and Hybrid Systems (ARCH-COMP '23).
To cite the work, you can use:
@inproceedings{LopezAFJLS23,
author = {Diego Manzanas Lopez and
Matthias Althoff and
Marcelo Forets and
Taylor T.\ Johnson and
Tobias Ladner and
Christian Schilling},
editor = {Goran Frehse and
Matthias Althoff},
title = {{ARCH-COMP23} Category Report: Artificial Intelligence and Neural
Network Control Systems {(AINNCS)} for Continuous and Hybrid Systems
Plants},
booktitle = {{ARCH}},
series = {EPiC Series in Computing},
volume = {96},
publisher = {EasyChair},
year = {2023},
url = {https://doi.org/10.29007/x38n},
doi = {10.29007/x38n}
}
Installation
Note: Running the full benchmark suite should take no more than two hours with a reasonable internet connection.
There are two ways to install and run this RE: either using the Julia script or using the Docker script. In both cases, first clone this repository.
Using the Julia script. First install the Julia compiler following the instructions here. Once you have installed Julia, execute
shell
$ julia startup.jl
to run all the benchmarks.
Using the Docker container.
To build the container, you need the program docker.
For installation instructions on different platforms, consult
the Docker documentation.
For general information about Docker, see
this guide.
Once you have installed Docker, start the submit.sh script:
shell
$ ./submit.sh
The Docker container can also be run interactively:
```shell $ docker run -it juliareach bash
$ julia
julia> include("startup.jl") ```
Outputs
After the benchmark runs have finished, the results will be stored in the folder
result and plots are generated in your working directory.
How the Julia environment was created
```julia julia> ]
(@v1.8) pkg> activate .
Activating new environment at .../ARCH2023_AINNCS/Project.toml
pkg> add ClosedLoopReachability pkg> add DifferentialEquations pkg> add LinearAlgebra pkg> add MAT pkg> add ONNX pkg> add Plots pkg> add YAML ```
Owner
- Name: JuliaReach
- Login: JuliaReach
- Kind: organization
- Website: http://juliareach.com/
- Twitter: JuliaReach
- Repositories: 31
- Profile: https://github.com/JuliaReach
Reachability Computations for Dynamical Systems in Julia
Citation (CITATION.bib)
@inproceedings{LopezAFJLS23,
author = {Diego Manzanas Lopez and
Matthias Althoff and
Marcelo Forets and
Taylor T.\ Johnson and
Tobias Ladner and
Christian Schilling},
editor = {Goran Frehse and
Matthias Althoff},
title = {{ARCH-COMP23} Category Report: Artificial Intelligence and Neural
Network Control Systems {(AINNCS)} for Continuous and Hybrid Systems
Plants},
booktitle = {{ARCH}},
series = {EPiC Series in Computing},
volume = {96},
publisher = {EasyChair},
year = {2023},
url = {https://doi.org/10.29007/x38n},
doi = {10.29007/x38n}
}
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|---|---|---|
| schillic | g****t@c****t | 3 |
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Dependencies
- julia 1.8.5 build