Lectures by Floris van Breugel

In this miniseries we will cover the principles of observability, including analytical tools, empirical tools, example applications, and software demonstrations.

Observability is a tool in control theory that provides a formal framework for quantifying how well-posed an estimation task is given certain sensor measurements and trajectory geometries.

Observability can be used for trajectory design, sensor selection, and data curation in machine learning applications.