Estimation of tire–road friction for road vehicles : a time delay neural network approach

Estimation of tire–road friction for road vehicles : a time delay neural network approach

Alexandre M. Ribeiro, Alexandra Moutinho, André R. Fioravanti, Ely C. de Paiva

ARTIGO

Inglês

Agradecimentos: This work was supported by FCT, Portugal, through IDMEC under projects LAETA (UID/EMS/ 50022/2019). The mobility of A. Ribeiro has been possible with the Erasmus Mundus SMART2 support (Project Reference: 552042-EM-1-2014-1-FR-ERA MUNDUS-EMA2) coordinated by CENTRALESUPELEC. The...

The performance of vehicle active safety systems is dependent on the friction force arising from the contact of tires and the road surface. Therefore, an adequate knowledge of the tire–road friction coefficient is of great importance to achieve a good performance of different vehicle control...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Estimation of tire–road friction for road vehicles : a time delay neural network approach

Alexandre M. Ribeiro, Alexandra Moutinho, André R. Fioravanti, Ely C. de Paiva


										

Estimation of tire–road friction for road vehicles : a time delay neural network approach

Alexandre M. Ribeiro, Alexandra Moutinho, André R. Fioravanti, Ely C. de Paiva

    Fontes

    Journal of the Brazilian Society of Mechanical Sciences and Engineering

    Vol. 42, no. 1 (Jan., 2020)