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Volumn II, Issue , 2003, Pages 701-706
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Application of the RBF neural networks for tire-road friction force estimation
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Author keywords
Control systems; Force control; Friction; Neural networks; Road safety; Road vehicles; Robustness; State estimation; Vehicle safety; Wheels
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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;
ACCURATE ESTIMATION;
ANTI-LOCK BRAKE SYSTEMS;
ESTIMATION QUALITY;
LYAPUNOV STABILITY ANALYSIS;
NEURAL NETWORK PARAMETERS;
ROAD SAFETY;
ROAD VEHICLES;
VEHICLE SAFETY;
FRICTION;
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EID: 33845547297
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ISIE.2003.1267905 Document Type: Conference Paper |
Times cited : (3)
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References (9)
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