Application of Extended Kalman Filtering for Estimating Immeasurable Vehicle State Variables
This paper presents an extended Kalman filtering (EKF) algorithm for estimating immeasurable state variables of a vehicle stability control system. Initially, the steering angle and vertical forces on the tires were considered inputs of the estimator. The measured process outputs were the sensor sig...
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| Format: | Article |
| Language: | English |
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Ton Duc Thang University
2017-05-01
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| Series: | Journal of Advanced Engineering and Computation |
| Online Access: | http://jaec.vn/index.php/JAEC/article/view/45 |