This lecture covers the concept of multivariable control, focusing on Gaussian random variables, marginal and conditional densities, affine transformations, linear systems driven by Gaussian noise, and the Lyapunov equation. The instructor explains how to characterize the steady-state process and the convergence of the variance. Examples illustrate the application of these concepts in unstable and stable systems.