Reachability Analysis (RA) for hybrid systems:
- RA with zonotypes
pip install reachab
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:
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/