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.
An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems.International Journal of Robust and Nonlinear Control, 29(15):5017–5037
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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.