Two UQ methods, intrusive PCE and non-intrusive Wasserstein-based sensitivity, are developed to optimize excitations for better parameter identification and demonstrated on vehicle models with experimental validation.
On distributionally robust chance-constrained linear programs.Journal of Optimization Theory and Applications, 130(1):1–22, 2006
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Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification
Two UQ methods, intrusive PCE and non-intrusive Wasserstein-based sensitivity, are developed to optimize excitations for better parameter identification and demonstrated on vehicle models with experimental validation.