Control

Gain Scheduling

Gain scheduling is a control technique in which the parameters of a linear controller are varied as a function of measured operating conditions, allowing a family of locally tuned linear controllers to cover a nonlinear system's operating envelope. Gains are typically designed at a grid of operating points and interpolated online. It is standard practice in flight control and appears in robotics wherever dynamics change substantially, such as payload variation or configuration-dependent inertia.

Why it matters for physical AI

Robot dynamics change dramatically with pose, payload, and contact state; scheduled or context-conditioned gains are a simple, certifiable precursor to the fully adaptive behavior that learned controllers aim to provide.