LQR control using factor graphs

This code is meant to provide a reference for implementing LQR control using GTSAM. For a discussion of the intuition behind the code, please see our corresponding blog post.

Provided in this folder are 5 files:

  • minimum_lqr_fg.py - A MWE of using factor graphs to solve an LQR problem. This example was displayed in the blog post.
  • dynamics_lti.py - A module for formulating and simulating linear, time invariant (LTI) dynamics problems.
  • lqr.py - A module for formulating and solving LQR problems.
  • example0_ricatti.py - Example code which solves an LQR problem using the traditional dynamic, Discrete Algebraic Ricatti Equation method. This code is just provided as a reference to compare the “standard” solution to the factor graph solution.
  • example1_factorgraph.py - Example code which solves an LQR problem using GTSAM/factor graphs.