In this paper, a tool supporting racing car design and set-up is proposed. A neuro-fuzzy inference system is used to model performance using set-up parameters. This approach has been suggested by the need of adopting a linguistic description of the system itself. The network has been developed by performance simulations of a race car in known conditions. A variational analysis of the output surfaces can provide a simply way to achieve the desired car performances

Race car performance evaluation by a neuro-fuzzy inference system

CORRADINI, Maria Letizia;
2006-01-01

Abstract

In this paper, a tool supporting racing car design and set-up is proposed. A neuro-fuzzy inference system is used to model performance using set-up parameters. This approach has been suggested by the need of adopting a linguistic description of the system itself. The network has been developed by performance simulations of a race car in known conditions. A variational analysis of the output surfaces can provide a simply way to achieve the desired car performances
2006
1424402093
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/116054
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