Finite-sample signal subspaces extend the fundamental lemma to enable a projection-based data-driven fault detection method with performance analysis via matrix perturbation theory.
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System representations in subspaces of finite-sample signals and their application to data-driven fault detection
Finite-sample signal subspaces extend the fundamental lemma to enable a projection-based data-driven fault detection method with performance analysis via matrix perturbation theory.