Minimal Experiments for Robust Stabilization: Information, Spectral Geometry, and Duration
This research investigates how short, minimal experiments can provide robust stabilization for linear systems. It quantifies the trade-off between collecting data (information), how long it takes (duration), and the resulting error tolerance for stabilizing controllable plants. The findings establish minimum information requirements and duration scales necessary to achieve a fraction of an optimal, ideal plant-informed experiment.