Carlson, C.R. and Gerdes, J.C. (2002) Identifying Tire Pressure Variation by Nonlinear Estimation of Longitudinal Stiffness and Effective Radius. Proceedings of AVEC 2002 6th International Symposium of Advanced Vehicle Control, Hiroshima, 9-13 September 2002.

has been cited by the following article:

• TITLE: A New Methodology for Reducing Yaw Rate Estimation Error

  AUTHORS: Wei Zhan

  KEYWORDS: Yaw Rate Estimation, Vehicle Dynamics, Concerning Coefficient

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.5 No.1, December 16, 2016

  ABSTRACT: The dependency of the steady-state yaw rate model on vehicle weight and its distribution is studied in this paper. A speed-dependent adjustment of the yaw rate model is proposed to reduce the yaw rate estimation error. This new methodology allows the calibration engineer to minimize the yaw rate estimation error caused by the different weight conditions without going through the calibration process multiple times. It is expected that this modified yaw rate model will improve the performance of Electronic Stability Control (ESC) systems such as response time and robustness.