Skip to main content

Reachability Analysis with zonotypes

Project description

Reachability Analysis

Reachability Analysis (RA) for hybrid systems:

  • RA with zonotypes

Installation

pip install reachab

Usage

After installation with bash pip install reachab, you could test the installation with reachab.test_me or running the script:

import reachab as rb
import numpy as np
import matplotlib.pyplot as plt
Omega_0 = {'c': np.matrix([[80],
                               [0],
                               [10],
                               [3]
                               ]),
               'g': np.matrix([[1, -1],
                               [1, 1],
                               [0, 0],
                               [0, 0]
                               ])
               }
U = {'c': np.matrix([[0],
                         [0],
                         [0],
                         [0],
                         ]),
         'g': np.matrix([[1, 0],
                         [0, 1],
                         [0, 0],
                         [0, 3]
                         ])
         }
        # zonoset=reach(Omega_0, U, params)
R, X, obj_reach, zonoset=rb.reach_zonotype_without_box(Omega_0, U, **{"time_horizon": 2.2, "steps": 4, "visualization": "y", "face_color": "green"})
all_inside_points=rb.points_inside_hull(zonoset)
rb.plot_all_inside_points(all_inside_points)
plt.grid()
plt.show()

... should produce:

Citation

Please cite following document if you use this python package:

@inproceedings{hartmann2019optimal,
  title={Optimal motion planning with reachable sets of vulnerable road users},
  author={Hartmann, Michael and Watzenig, Daniel},
  booktitle={2019 IEEE Intelligent Vehicles Symposium (IV)},
  pages={891--898},
  year={2019},
  organization={IEEE}
}

Image source: https://www.pexels.com/photo/photo-of-multicolored-abstract-painting-1193743/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

reachab-0.4.16.tar.gz (9.1 kB view details)

Uploaded Source

Built Distribution

reachab-0.4.16-py2-none-any.whl (10.8 kB view details)

Uploaded Python 2

File details

Details for the file reachab-0.4.16.tar.gz.

File metadata

  • Download URL: reachab-0.4.16.tar.gz
  • Upload date:
  • Size: 9.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.17

File hashes

Hashes for reachab-0.4.16.tar.gz
Algorithm Hash digest
SHA256 47c7a5d260a5917c67688f989c9562c8332a1455f40fb0d18fb7bc93d0997f57
MD5 af587992dd960350c0e82c527b9f1820
BLAKE2b-256 aa5b62b3b18f5ac7a1e2ddab56afb9108ae2170dcd10304d272744334c90c26c

See more details on using hashes here.

File details

Details for the file reachab-0.4.16-py2-none-any.whl.

File metadata

  • Download URL: reachab-0.4.16-py2-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.17

File hashes

Hashes for reachab-0.4.16-py2-none-any.whl
Algorithm Hash digest
SHA256 95c0db6312e7943abe148a8e1c6389be2b7c8bd05e7ca2c7379bb1b8705c4f2f
MD5 8d2b833955a87565214ed62d50c64877
BLAKE2b-256 6a08d4448af1fe20673b2012bd2b1aa38a34bd66b70d8e68c79c665a3f9782d8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page