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.
Bayesian emulation of complex multi-output and dynamic computer models.Journal of Statistical Plan- ning and Inference, 140(3):640–651
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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.