Introduction of the python library: pylib-sakata

The pylib-sakata is a library of Python classes and functions designed to enhance the capabilities of the python-control package. It provides practical tools for designing controllers and analyzing the performance and stability of Linear Time-Invariant (LTI) systems.

1 Environment Setup

1.1 Installation of Python

  • All OS: Download the property version installer HERE.

  • Required Version: Python 3.9 or higher, but lower than 3.13 (>=3.9, <3.13).

  • Important: Ensure the “Add Python 3.x to PATH” checkbox is selected during installation.

1.2 Installation of Required Libraries

The pylib-sakata package relies on the following libraries:

These dependencies are automatically installed with the following versions when you install pylib-sakata:

numpy==1.26.4
scipy==1.14.1
matplotlib==3.8.4
pandas>=2.2.3
control==0.10.1

1.3 Installation of pylib-sakata

You can install the pylib-sakata package via pip. Run the following command in your command prompt or terminal:

pip install pylib-sakata

1.4 Getting Started

To use the package, import it into your Python environment:

import pylib_sakata

The package consists of the following six functional modules:

  1. ctrl: Tools for designing controllers and filters.
  2. fft: Utilities for Fast Fourier Transform (FFT) analysis.
  3. meas: Functions for processing measurement data.
  4. traj: Generators for target trajectories.
  5. plot: Enhanced plotting functions.
  6. init: Tools for initializing variables in the current workspace.

You can also import these modules individually as needed:

from pylib_sakata import ctrl, fft, meas, traj, plot, init

For practical applications, please refer to the Example Codes.