The Python Control Systems Library (python-control)

From Murray Wiki
Jump to navigationJump to search
Title The Python Control Systems Library (python-control)
Authors Sawyer Fuller, Ben Greiner, Jason Moore, Richard M. Murray, Renee van Paassen and Rory Yorke
Source IEEE Conference on Decision and Control (CDC), 2021
Abstract The Python Control Systems Library (python-control) is an open source set of Python classes and functions that implement common operations for the analysis and design of feedback control systems. In addition to support for standard LTI control systems (including time and frequency response, block diagram algebra, stability and robustness analysis, and control system synthesis), the package provides support for nonlinear input/output systems, including system interconnection, simulation, and describing function analysis. A MATLAB compatibility layer provides an many of the common functions corresponding to commands available in the MATLAB Control Systems Toolbox. The library takes advantage of the Python “scientific stack” of Numpy, Matplotlib, and Jupyter Notebooks and offers easy interoperation with other category-leading software systems in data science, machine learning, and robotics that have largely been built on Python.
Type Conference paper
Tag ful+21-cdc
ID 2021c