Browse Publications Technical Papers 2006-01-0690

Robust Parameter Estimation Algorithms for Nonlinear Aftertreatment Models 2006-01-0690

An easy-to-use implementation of a Differential Evolution Based Stochastic Optimizer (DEBSO) for nonlinear, multi-modal problems is presented. Using two case studies, we demonstrate that DEBSO is (1) more effective and (2) less sensitive to user defined initial guess values, in finding the global optimum, as compared to that of a gradient based deterministic optimizer. Results from using DEBSO for construction of empirical catalyst maps from pulsator data and estimation of parameters in a diesel oxidation catalyst model are also presented. The effectiveness and efficiency of DEBSO has been compared to other evolution-based optimizers in Appendix A.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 43% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.