Continuous-Time Local Model Network for the Boost-Pressure Dynamics of a Turbocharger
Résumé
In this paper we consider continuous-time local model networks (LMN) to model dynamical processes with strong nonlinearities. The local model approach allows for simple black-box identification procedures using experimental data. Using the LoLiMoT algorithm the number of models can be significantly reduced and may yield insights into the nonlinearities driving the process. We propose a variation of the LoLiMoT algorithm that partitions the operating range in a more efficient manner and proves particular suited for heterogenous nonlinearities.
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
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