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Vehicle State Estimation Based on Strong Tracking Central Different Kalman Filter
2021
Mathematical Problems in Engineering
Vehicle active safety control was a key technology to avoid serious safety accidents, and accurate acquisition of vehicle states signals was a necessary prerequisite to achieve active vehicle safety control. Based on the purpose, a 3-DOF nonlinear vehicle dynamics model containing constant noise and a nonlinear tire model were established, and several vehicle key states were estimated by a strong tracking central different Kalman filter (CDKF). The conclusion showed that the proposed estimator
doi:10.1155/2021/4126961
fatcat:rqoqm2xaqveq7clc7hxnmwjfrm