Metadata-Version: 2.1
Name: control-toolbox
Version: 0.0.7
Summary: Python Control System Toolbox
Home-page: https://control-toolbox.readthedocs.io/
Author: Rushad Mehta
Author-email: rushadmehta16@gmail.com
License: MIT
Download-URL: https://github.com/rushad7/control-toolbox/archive/v0.0.7.tar.gz
Description: # Python Control Systems Toolbox
        [![Build Status](https://travis-ci.com/rushad7/control-toolbox.svg?branch=master)](https://travis-ci.com/rushad7/control-toolbox)
        [![Documentation Status](https://readthedocs.org/projects/control-toolbox/badge/?version=latest)](https://control-toolbox.readthedocs.io/en/latest/?badge=latest)
        [![PyPI version](https://badge.fury.io/py/control-toolbox.svg)](https://badge.fury.io/py/control-toolbox)
        ![GitHub](https://img.shields.io/github/license/rushad7/control-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/](https://control-toolbox.readthedocs.io/)  
        Source Code: [https://github.com/rushad7/control-toolbox](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`
        
Keywords: Control Systems,Python Control Toolbox,System Simulation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
