This page contains information intended to help keep track of who is working on what.
|Steven Brunton||modelsimp, MIMO||active|
|Kevin Chen||modelsimp, SS/TF conversion, MIMO||active|
|Sawyer Fuller||pade(), unwrap()||active|
|Richard Murray||python-control/Slycot integration||active|
|Lauren Padilla||modelsimp, MIMO, python-control/Slycot integration||active|
A number of individuals are working on code that they have contributed to the project.
- Roberto Bucher has written a package called yottalab that has functions for converting continuous time systems to discrete time, computing minimal realizations, and solving Ricatti equations.
- Enrico Avventi has been putting together a set of SLICOT wrappers for python. These will be used for implementing various analysis and synthesis tools that are implemented in SLICOT.
- Ryan Knauss has written a number of control functions for a controls course that he teaches using python. With Ryan's agreement, we are incorporating his functionality into the python-control library. In particular, Ryan has done a lot of work on functions for doing continuous-time to discrete-time conversions, along with tools for frequency response and root locus based design.
- Eike Welk has contributed MIMO-compatible version of the time response functions (forced response, step response, etc) and many improvements to the documentation.
A list of current MATLAB functions that are available via python-control is available in the user manual:
- Matlab-like Routines - list of MATLAB control system functions implemented in python-control
We are always looking for contributions that added functionality to the package.