Fig. 15
From: A flexible framework for sequential estimation of model parameters in computational hemodynamics
Comparison between Windkessel parameter estimation using different filtering methods. a Case A, with ROUKF, using the non-augmented filtering algorithm and the “hard-coded” Windkessel model b Case B, with ROUKF-CLS, using the constrained least squares augmentation of ROUKF, and the Netlist Windkessel model. Convergence of the parameter values for the three LPN parameters is shown. Given uniform initialization of all parameters to 1, the true values (dashed lines) are recovered. Shaded regions indicate the standard deviations for the parameter estimates, demonstrating the evolving confidence of the filter in the estimate