Python Control Systems Toolbox

The control-toolbox is a Python Library for implementing and simulating various systems and control strategies.

Current Supported Functionality:

• System modeling with Transfer Functions and State Space models.
• Time Domain Response of System with the following input signals: Impulse, Step, Ramp.
• System conversion, State Space model to Transfer Function
• Block diagram algebra: Series and Paralel.
• Stability analysis of the system.
• Root Locus Plot of the system.
• Frequency Response, Bode plot.
• Parameterization of systems.
• Pole-Zero Plot of systems.
• Feedback analysis.
• PID control.
• Observability, Controllability.

Future Updates:

• Linear Quadratic Regulator.
• Kalman Filter.

Project Links

Project Homepage: http://control-toolbox.rtfd.io/
Documentation: https://control-toolbox.readthedocs.io/
Source Code: https://github.com/rushad7/control-toolbox

Installation

Pip

To install using pip, run the following command:

pip install control-toolbox

Development

To get the latest unreleased version:

git clone https://github.com/rushad7/control-toolbox.git