Machine Learning, Dynamical Systems and Control



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Miniseries on Observability Theory

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.