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Example Gallery¶

Here you will find an example gallery for the Deterministic Particle Flow Control framework.

Click one of the images below to be taken its corresponding example.

(This section is getting updated.)

NOTE¶

Not a notebook yet(!), but will be updated and connected to the main package.

This version of code runs synchronisation of inhomogeneous Kuramoto oscillators with frequency distribution comprising two delta functions centeed at \(-\omega\) and \(+\omega\).

Relevant figures in the article are in the Supplementary Information.

Created on Mon Nov 22 21:19:37 2021

sphx_glr_auto_examples_Kuramoto_synchronisation_analyse_systematic_inhomogeneous_Kuramoto_6N.py

Created on Mon Nov 22 21:19:37 2021
Created on Tue Nov  9 19:03:18 2021

sphx_glr_auto_examples_Kuramoto_synchronisation_analyse_systematic_homogeneous_Kuramoto_2N.py

Created on Tue Nov 9 19:03:18 2021
Created on Mon Nov  8 12:15:09 2021

sphx_glr_auto_examples_Kuramoto_synchronisation_systematic_multi_N_kuramoto_inhomogeneous_for_cluster.py

Created on Mon Nov 8 12:15:09 2021

Stochastic bridge on a 2D Limit Cycle¶

This is an example notebook demonstrating the creation of stochastic bridges for a two dimensional limit cycling system.

For the creation of a stochastic bridges only a terminal constraint is necessary to be imposed onto the system dynamics.

Stochastic bridge on a Limit Cycle

Stochastic bridge on a Limit Cycle

Stochastic bridge on a Limit Cycle

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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Table of Contents

  • Setting
  • Example Gallery
    • NOTE
    • Stochastic bridge on a 2D Limit Cycle
      • NOTE
      • Stochastic bridge on a 2D Limit Cycle
  • API
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