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 (State Space models coming in future updates).
- Time Domain Response of System with the following input signals: Impulse, Step, Ramp.
- Pole-Zero Plot of system.
- Root Locus Plot of the system.
- Stability analysis of the system.
Future Updates:
- Block diagram algebra.
- Frequency response: Bode and Polar Plots.
- Observability, Controllability.
- 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
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Source Distribution
control-toolbox-0.0.2.tar.gz
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