A novel approach for vehicle inertial parameter identification using a dual kalman filter

IEEE Transactions on Intelligent Transportation Systems

Volumn 16, Issue 1, 2015, Pages 151-161

  Hong, Sanghyun ^a   Lee, Chankyu ^a   Borrelli, Francesco ^a   Hedrick, J Karl ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Intelligent transportation systems; Kalman filter; Nonlinear dynamic systems

Indexed keywords

ALGORITHMS; DYNAMICAL SYSTEMS; DYNAMICS; FRICTION; GRAVITATION; INTELLIGENT SYSTEMS; KALMAN FILTERS; NONLINEAR DYNAMICAL SYSTEMS; ROADS AND STREETS; VEHICLES;

CENTER OF GRAVITY; EXPERIMENTAL TEST; INERTIAL PARAMETERS; INTELLIGENT TRANSPORTATION SYSTEMS; LOCAL OBSERVABILITY; NOVEL ALGORITHM; TIRE-ROAD FRICTION; UNSCENTED KALMAN FILTER;

PARAMETER ESTIMATION;

EID: 84922444127     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2014.2329305     Document Type: Article

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