Metadata-Version: 2.1
Name: control-toolbox
Version: 0.0.8
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/v0.0.8.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 Representations.
        - Time Domain Response.
        - Frequency Response.
        - System Representation conversion: State Space model to Transfer Function and vice versa.
        - Block diagram algebra: Series and Parallel.
        - Stability Analysis.
        - Root Locus.
        - Bode Plot.
        - Parameterization of System.
        - Pole-Zero / Eigenvalue plot of systems.
        - Feedback analysis.
        - PID control.
        - Observability and Controllability.
        - Full State Feedback
        - Full State Observer
        - Linear Quadratic Regulator(LQR)
        - Linear Quadratic Estimator(LQE) / Kalman Filter
        
        ## Future Updates:
        - Linear Quadratic Gaussian Control.
        - Extended Kalman Filter.
        - Unscented Kalman filter.
        - Model Predictive Control.
        
        ## Project Links
        Project Homepage: http://control-toolbox.rtfd.io/  
        Documentation: [https://control-toolbox.readthedocs.io/](https://control-toolbox.readthedocs.io/)  
        
        ## 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 :: 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
