# LQR control using factor graphs

# 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.