Control Bootcamp Overview

Summary

This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability ... Reinforcement learning is a powerful technique at the intersection of machine learning and Linear systems of ordinary differential equations are analyzed using eigenvalues and eigenvectors. This will be the mathematical ... Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and ... 00:09 Using Subversion for Source Code Here we discuss the stability of a linear system (in continuous-time or discrete-time) in terms of eigenvalues. Later, we will actively ...