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Volumn II, Issue , 2003, Pages 701-706

Application of the RBF neural networks for tire-road friction force estimation

Author keywords

Control systems; Force control; Friction; Neural networks; Road safety; Road vehicles; Robustness; State estimation; Vehicle safety; Wheels

Indexed keywords

ACTIVE SAFETY SYSTEMS; CONTROL SYSTEMS; FORCE CONTROL; INDUSTRIAL ELECTRONICS; MOTOR TRANSPORTATION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; ROADS AND STREETS; ROBUSTNESS (CONTROL SYSTEMS); SAFETY ENGINEERING; STATE ESTIMATION; TIRES; TRACTION CONTROL; TRANSPORTATION; TRIBOLOGY; UNCERTAINTY ANALYSIS; VEHICLE WHEELS; VEHICLES; WHEELS;

EID: 33845547297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2003.1267905     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 1
    • 0031164725 scopus 로고    scopus 로고
    • Slip-based tire-road friction estimation
    • F. Gustafsson. Slip-based tire-road friction estimation. Automatica, 3(6):1087-1099, 1997.
    • (1997) Automatica , vol.3 , Issue.6 , pp. 1087-1099
    • Gustafsson, F.1
  • 4
    • 84872912995 scopus 로고
    • A new tire model with an application in vehicle dynamics studies
    • E. Bakker, H. B. Pacejka, and L. Lidner. A new tire model with an application in vehicle dynamics studies. SAE paper, 1987.
    • (1987) SAE Paper
    • Bakker, E.1    Pacejka, H.B.2    Lidner, L.3
  • 8
    • 0004151494 scopus 로고    scopus 로고
    • Cambridge University Press, New York, USA
    • Roger A. Horn and Charles R. Johnson. Matrix Analysis. Cambridge University Press, New York, USA, 1999.
    • (1999) Matrix Analysis
    • Horn, R.A.1    Johnson, C.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.