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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Winter, M.; Breitsamter, C. 
Titel:
Nonlinear identification via connected neural networks for unsteady aerodynamic analysis 
Abstract:
n the present work, a nonlinear system identification strategy is proposed which is based on the series connection of a recurrent local linear neuro-fuzzy model (NFM) and a multilayer perceptron (MLP) neural network. The NFM with output feedback is initially used for multi-step ahead predictions, whereas the MLP neural network is a posteriori employed to perform a nonlinear quasi-static correction of the NFM's time-series response. The novel identification approach is utilized exemplarily as a r...    »
 
Stichworte:
Nonlinear system identification; Reduced-order modeling; Neuro-fuzzy model; Neural networks; Unsteady aerodynamics; Computational fluid dynamics 
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften 
Zeitschriftentitel:
Aerospace Science and Technology 
Jahr:
2018 
Band / Volume:
Vol. 77 
Seitenangaben Beitrag:
pp. 802-818 
Nachgewiesen in:
Scopus 
Sprache:
en 
Verlag / Institution:
Elsevier Masson SAS 
TUM Einrichtung:
Lehrstuhl für Aerodynamik