.. currentmodule:: control

The source code for the examples below are available in the examples/ subdirectory of the source code distribution. They can also be accessed online via the python-control GitHub repository.

The following Python scripts document the use of a variety of methods in the Python Control Toolbox on examples drawn from standard control textbooks and other sources.

.. toctree::
   :maxdepth: 1

   secord-matlab
   pvtol-nested
   pvtol-lqr
   rss-balred
   phase_plane_plots
   robust_siso
   robust_mimo
   scherer_etal_ex7_H2_h2syn
   scherer_etal_ex7_Hinf_hinfsyn
   cruise-control
   steering-gainsched
   steering-optimal
   kincar-flatsys
   mrac_siso_mit
   mrac_siso_lyapunov
   markov
   era_msd

The examples below use python-control in a Jupyter notebook environment. These notebooks demonstrate the use of modeling, analysis, and design tools using examples from textbooks (FBS, OBC), courses, and other online sources.

.. toctree::
   :maxdepth: 1

   cruise
   describing_functions
   interconnect_tutorial
   kincar-fusion
   mhe-pvtol
   mpc_aircraft
   pvtol-lqr-nested
   pvtol-outputfbk
   simulating_discrete_nonlinear
   steering
   stochresp

A collection of Jupyter notebooks are available on Google Colab, where they can be executed through a web browser:

• Caltech CDS 110 Google Colab notebooks: Jupyter notebooks created by Richard Murray for CDS 110 (Analysis and Design of Feedback Systems) at Caltech.

Note: in order to execute the Jupyter notebooks in this collection, you will need a Google account that has access to the Google Colaboratory application.