PSL is a minimalistic library for simulating dynamical systems in Python using SciPy library.

Authors: Jan Drgona, Aaron Tuor, Stefan Dernbach, James Koch, Soumya Vasisht, Wenceslao Shaw Cortez, Draguna Vrabie

• Optional pytorch backend via torchdiffeq for all systems in autonomous.py
• Faster numpy integration for systems in autonomous.py
• Sampling of initial conditions and control inputs over dynamic range via get_U, and get_x0 functions for all systems.
• Coupled dynamical systems in coupled_systems.py module

See online Documentation.

$ conda create -n psl python=3.8
$ conda activate psl
(psl) $ conda install numpy
(psl) $ conda install scipy
(psl) $ conda install matplotlib
(psl) $ pip install pyts
(psl) $ pip install tqdm
(psl) $ conda install torchdiffeq

import psl
# instantiate selected dynamical system model
model = psl.systems['Duffing'](ts=0.01)
# simulate the dynamical system over nsim steps
out = model.simulate(nsim=2000)
# plot time series and phase portrait 
psl.plot.pltOL(Y=out['Y'], X=out['X'])
psl.plot.pltPhase(X=out['Y'])

See folder tests.