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.
Dynamic mode decomposition of numerical and exper- imental data,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.