Control

Event-Triggered Control

Event-Triggered Control is a control paradigm in which measurements are sampled and control signals updated only when a state-dependent condition fires, such as the error exceeding a threshold, rather than at a fixed clock rate. Analysis guarantees stability while excluding Zeno behavior of infinitely frequent triggering. It substantially reduces communication and computation compared to periodic control, especially over shared or wireless networks.

Why it matters for physical AI

Battery-powered fleets and networked robot systems face hard bandwidth and energy budgets, and aperiodic control offers a principled way to spend communication only when the physics demands it.