Python Control System Toolbox
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
control-toolbox-0.0.7.tar.gz
(9.3 kB
view hashes)