Abstract
Abstract Nonlinear system identification using local affine models is investigated with the focus on the structure of the submodels. In general, submodels in input/output form are applied whose parameters change simultaneously. In many cases this submodel structure results in an insufficient model quality in terms of generalization performance and interpretability. As improvement a new submodel structure with a delayed parameter change is used as well as an extended offset with an independent numerator dynamics. This submodel structure is applied for the identification of the air path of a simulated and a real diesel engine which is equipped with an external exhaust gas recirculation and a turbocharger with variable geometry turbine.
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