A closed-form sensitivity bound is proposed for how estimation error in parameterized linear systems responds to parameter perturbations, extending prior model-reduction robustness results to systems with control inputs.
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Parameter Robustness in Data-Driven Estimation of Dynamical Systems
A closed-form sensitivity bound is proposed for how estimation error in parameterized linear systems responds to parameter perturbations, extending prior model-reduction robustness results to systems with control inputs.