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arch2022_ainncs_re

Repeatability evaluation package for the ARCH2022 AINNCS competition

https://github.com/juliareach/arch2022_ainncs_re

Science Score: 57.0%

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Repository

Repeatability evaluation package for the ARCH2022 AINNCS competition

Basic Info
  • Host: GitHub
  • Owner: JuliaReach
  • License: mit
  • Language: Julia
  • Default Branch: master
  • Size: 1.34 MB
Statistics
  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

ARCH2022 AINNCS

This is the JuliaReach repeatability evaluation (RE) package for the ARCH-COMP 2022 category report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants of the 6th International Competition on Verifying Continuous and Hybrid Systems (ARCH-COMP '22).

To cite the work, you can use:

@inproceedings{LopezABCFFHJLLSZ22, author = {Diego Manzanas Lopez and Matthias Althoff and Luis Benet and Xin Chen and Jiameng Fan and Marcelo Forets and Chao Huang and Taylor T. Johnson and Tobias Ladner and Wenchao Li and Christian Schilling and Qi Zhu}, editor = {Goran Frehse and Matthias Althoff}, title = {{ARCH-COMP22} Category Report: Artificial Intelligence and Neural Network Control Systems {(AINNCS)} for Continuous and Hybrid Systems Plants}, booktitle = {{ARCH}}, series = {EPiC Series in Computing}, volume = {90}, pages = {142--184}, publisher = {EasyChair}, year = {2022}, url = {https://doi.org/10.29007/wfgr}, doi = {10.29007/wfgr} }

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 measure_all script:

shell $ ./measure_all

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> ]

(@v1.7) pkg> activate . Activating new environment at .../ARCH2022_AINNCS/Project.toml

pkg> add ClosedLoopReachability pkg> add DifferentialEquations pkg> add LinearAlgebra pkg> add MAT pkg> add Plots pkg> add Symbolics pkg> add YAML ```

Owner

  • Name: JuliaReach
  • Login: JuliaReach
  • Kind: organization

Reachability Computations for Dynamical Systems in Julia

Citation (CITATION.bib) 

@inproceedings{LopezABCFFHJLLSZ22,
  author    = {Diego Manzanas Lopez and
               Matthias Althoff and
               Luis Benet and
               Xin Chen and
               Jiameng Fan and
               Marcelo Forets and
               Chao Huang and
               Taylor T. Johnson and
               Tobias Ladner and
               Wenchao Li and
               Christian Schilling and
               Qi Zhu},
  editor    = {Goran Frehse and
               Matthias Althoff},
  title     = {{ARCH-COMP22} Category Report: Artificial Intelligence and Neural
               Network Control Systems {(AINNCS)} for Continuous and Hybrid Systems
               Plants},
  booktitle = {{ARCH}},
  series    = {EPiC Series in Computing},
  volume    = {90},
  pages     = {142--184},
  publisher = {EasyChair},
  year      = {2022},
  url       = {https://doi.org/10.29007/wfgr},
  doi       = {10.29007/wfgr}
}

GitHub Events

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Last synced: over 1 year ago

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schillic g****t@c****t 9
Christian Schilling a****t@c****t 1
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Dependencies

Dockerfile docker
  • julia 1.7.3 build