A Particle Filter Approach for Identifying Tire Model Parameters From Full-Scale Experimental Tests
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Edoardo Sabbioni | Federico Cheli | Davide Tarsitano | Ruixin Bao | E. Sabbioni | F. Cheli | D. Tarsitano | R. Bao
[1] Francesco Braghin,et al. Identification of Pacejka’s scaling factors from full-scale experimental tests , 2005 .
[2] Matt C. Best,et al. An Extended Adaptive Kalman Filter for Real-time State Estimation of Vehicle Handling Dynamics , 2000 .
[3] Hans B. Pacejka,et al. Tire and Vehicle Dynamics , 1982 .
[4] Christian P. Robert,et al. Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.
[5] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[6] Enrico Zio,et al. A particle filtering and kernel smoothing-based approach for new design component prognostics , 2015, Reliab. Eng. Syst. Saf..
[7] Matt C. Best. Identifying tyre models directly from vehicle test data using an extended Kalman filter , 2010 .
[8] George J. Vachtsevanos,et al. A particle-filtering approach for on-line fault diagnosis and failure prognosis , 2009 .
[9] Simon J. Godsill,et al. An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo , 2007, Proceedings of the IEEE.
[10] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.
[11] Paolo Bolzern,et al. ESTIMATION OF THE NON-LINEAR SUSPENSION TYRE CORNERING FORCES FROM EXPERIMENTAL ROAD TEST DATA. , 1999 .
[12] David Cebon,et al. Parameter and state estimation for articulated heavy vehicles , 2011 .
[13] Francesco Braghin,et al. Environmental effects on Pacejka’s scaling factors , 2006 .
[14] Hans B. Pacejka,et al. THE MAGIC FORMULA TYRE MODEL , 1991 .
[15] Edoardo Sabbioni,et al. IDENTIFICATION OF TYRE MODEL PARAMETERS THROUGH FULL VEHICLE EXPERIMENTAL TESTS , 2010 .