Control Bootcamp Overview

Overview

This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability ...

This video motivates robust

Linear systems of ordinary differential equations are analyzed using eigenvalues and eigenvectors. This will be the mathematical ...

Control Bootcamp

Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and ...

Reinforcement learning is a powerful technique at the intersection of machine learning and

This video explores three equivalent representations of linear systems: State-space ODEs, Frequency domain transfer functions, ...

Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise ...

Here we discuss the stability of a linear system (in continuous-time or discrete-time) in terms of eigenvalues. Later, we will actively ...