Two Stage Estimation Method in Data Processing and Simulation Analysis

2010 ◽  
pp. 62-70
Author(s):  
Pan Xiong ◽  
Chunru Zhao ◽  
Lihong Jin
Keyword(s):  
Data Processing ◽  
Simulation Analysis ◽  
Estimation Method ◽  
Two Stage ◽  
Stage Estimation

An Adaptive Two-stage Estimation Method for Additive Models

2009 ◽  
Vol 36 (2) ◽  
pp. 248-269 ◽  
Author(s):  
LU LIN ◽  
XIA CUI ◽  
LIXING ZHU
Keyword(s):  
Estimation Method ◽  
Additive Models ◽  
Two Stage ◽  
Stage Estimation

scholarly journals Estimation of Vehicle Dynamic Parameters Based on the Two-Stage Estimation Method

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3711
Author(s):  
Wenfei Li ◽  
Huiyun Li ◽  
Kun Xu ◽  
Zhejun Huang ◽  
Ke Li ◽  
...  
Keyword(s):  
Vehicle Dynamics ◽  
Unscented Kalman Filter ◽  
Estimation Method ◽  
Moment Of Inertia ◽  
Dynamic Parameters ◽  
Vehicle Dynamic ◽  
Vehicle Model ◽  
Two Stage ◽  
Second Stage ◽  
Stage Estimation

Vehicle dynamic parameters are of vital importance to establish feasible vehicle models which are used to provide active controls and automated driving control. However, most vehicle dynamics parameters are difficult to obtain directly. In this paper, a new method, which requires only conventional sensors, is proposed to estimate vehicle dynamic parameters. The influence of vehicle dynamic parameters on vehicle dynamics often involves coupling. To solve the problem of coupling, a two-stage estimation method, consisting of multiple-models and the Unscented Kalman Filter, is proposed in this paper. During the first stage, the longitudinal vehicle dynamics model is used. Through vehicle acceleration/deceleration, this model can be used to estimate the distance between the vehicle centroid and vehicle front, the height of vehicle centroid and tire longitudinal stiffness. The estimated parameter can be used in the second stage. During the second stage, a single-track with roll dynamics vehicle model is adopted. By making vehicle continuous steering, this vehicle model can be used to estimate tire cornering stiffness, the vehicle moment of inertia around the yaw axis and the moment of inertia around the longitudinal axis. The simulation results show that the proposed method is effective and vehicle dynamic parameters can be well estimated.

Research on the Application of Semi-Parametric Estimation Method

2014 ◽  
Vol 926-930 ◽  
pp. 3212-3215
Author(s):  
Ze Fu Zhao ◽  
Yan Chun Zhao ◽  
Xing Cong Mao
Keyword(s):  
Systematic Error ◽  
Estimation Method ◽  
Parametric Model ◽  
Temperature Monitoring ◽  
Parametric Estimation ◽  
Two Stage ◽  
Stage Estimation

The semi-parametric estimation method includes not only a parametric component, but also a nonparametric component. The two-stage estimation method is analyzed in this study and the final estimation of variables is also given. The method is used to predict the data of temperature monitoring of a certain area and the result shows that the semi-parametric model takes into account of the influence of systematic error, the prediction is preferable. The semi-parametric estimation is well applied in temperature monitoring forecast and some other actual problems.

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