https://github.com/decargroup/dkpy

Robust control in Python using D-K iteration... and more!
https://github.com/decargroup/dkpy

control h-infinity mu-analysis mu-synthesis robust-control

Last synced: 16 days ago
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Robust control in Python using D-K iteration... and more!

• Host: GitHub
• URL: https://github.com/decargroup/dkpy
• Owner: decargroup
• License: mit
• Created: 2024-09-18T14:25:53.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-29T20:59:35.000Z (23 days ago)
• Last Synced: 2024-11-29T21:30:12.817Z (23 days ago)
• Topics: control, h-infinity, mu-analysis, mu-synthesis, robust-control
• Language: Python
• Homepage: https://dkpy.readthedocs.io/en/stable/
• Size: 90.8 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff
  • Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

README

        
.. role:: class(code)

dkpy

====

``dkpy`` is a `D-K iteration `_

library written in Python, aiming to build upon

`python-control `_.

The package is currently a work-in-progress, and no API stability guarantees

will be made until version 1.0.0.

Example

=======

.. code-block:: python

    import dkpy

    import numpy as np

    dk_iter = dkpy.DkIterFixedOrder(

        controller_synthesis=dkpy.HinfSynLmi(

            lmi_strictness=1e-7,

            solver_params=dict(

                solver="MOSEK",

                eps=1e-9,

            ),

        ),

        structured_singular_value=dkpy.SsvLmiBisection(

            bisection_atol=1e-5,

            bisection_rtol=1e-5,

            max_iterations=1000,

            lmi_strictness=1e-7,

            solver_params=dict(

                solver="MOSEK",

                eps=1e-9,

            ),

        ),

        transfer_function_fit=dkpy.TfFitSlicot(),

        n_iterations=3,

        fit_order=4,

    )

    omega = np.logspace(-3, 3, 61)

    block_structure = np.array([[1, 1], [1, 1], [2, 2]])

    K, N, mu, info = dk_iter.synthesize(P, n_y, n_u, omega, block_structure)

Contributing

============

To install the pre-commit hook, run

.. code-block:: sh

   $ pip install -r requirements.txt

   $ pre-commit install

in the repository root.

Citation

========

If you use this software in your research, please cite it as below or see

``CITATION.cff``.

.. code-block:: bibtex

    @software{dahdah_dkpy_2024,

        title={{decargroup/dkpy}},

        url={https://github.com/decargroup/dkpy},

        author={Steven Dahdah and James Richard Forbes},

        version = {{v0.1.5}},

        year={2024},

    }