Difference between revisions of "Control Systems Library for Python"
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Latest revision as of 21:11, 31 May 2015
|Python Control Systems Library (python-control)|
The Python Control Systems Library, python-control, is a python package that implements basic operations for analysis and design of feedback control systems.
- User manual - Sphinx documentation for the python-control package
- Download - download and install the latest release of the package
- Example: Vertical takeoff and landing aircraft - demonstration of package capabilities
- Announcements mailing list - sign up to receive announcements about python-control
- Project description page - summary of all project information (SourceForge)
The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. The initial goal is to implement all of the functionality required to work through the examples in the textbook Feedback Systems by Åström and Murray. A MATLAB compatibility package (control.matlab) is available that provides functions corresponding to the commands available in the MATLAB Control Systems Toolbox.
Here are some of the basic functions that are (or will be) available in the package:
- Linear input/output systems in state space and frequency domain (transfer functions)
- Block diagram algebra: serial, parallel and feedback interconnections
- Time response: initial, step, impulse (using the scipy.signal package)
- Frequency response: Bode and Nyquist plots
- Control analysis: stability, reachability, observability, stability margins
- Control design: eigenvalue placement, linear quadratic regulator
- Estimator design: linear quadratic estimator (Kalman filter)