Estimation of vehicle sideslip angle based on strong tracking unscented Kalman filter approach
Author:
Affiliation:
1. School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology,Xi'an,China,710048
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902162.pdf?arnumber=9902162
Reference19 articles.
1. Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer
2. Co-Estimation and Validation of Driving States of a 3-DOFs Vehicle Model Based on UKF Approach
3. Target tracking algorithm based on adaptive strong tracking particle filter;li;IET Science Measurement & Technology,2016
4. Position Estimation and Smooth Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels
5. Adaptive estimations of tyre–road friction coefficient and body’s sideslip angle based on strong tracking and interactive multiple model theories
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1. A Comprehensive Benchmarking Study of Various Non-linear State Estimators for Vehicle Sideslip Angle Estimation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. Engineering the temporal dynamics of all-optical switching with fast and slow materials;Nature Communications;2023-09-21
3. Target Detection of Passive Bistatic Radar under the Condition of Impure Reference Signal;Remote Sensing;2023-08-04
4. Robust Virtual Sensing of the Vehicle Sideslip Angle through the Cross-Combination of Multiple Filters Using a Decision Tree Algorithm;Sensors;2023-06-25
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