Control Theory

The physical system being controlled.

Algorithm computing control actions.

Using output to adjust future inputs.

Classical controller balancing responsiveness and stability.

Converts constrained problem to unconstrained form.

Alternative formulation providing bounds.

Optimization under uncertainty.

Methods like Adam adjusting learning rates dynamically.