Informativity conditions enable unique output prediction for LTI systems from data without uniquely identifying the underlying dynamics.
Data-driven simulation and control
2 Pith papers cite this work. Polarity classification is still indexing.
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A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.
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Informativity for Data-driven Prediction
Informativity conditions enable unique output prediction for LTI systems from data without uniquely identifying the underlying dynamics.