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- W2364952581 abstract "In order to improve the control quality of the single-rate digital control strategy in a complex system,an input multirate unscented Kalman filter(IMRUKF) was developed by combination of multirate digital control systems and the unscented Kalman filter(UKF) algorithm.The IMRUKF algorithm was applied to estimate the yaw rate,slip angle,and longitudinal velocity of the active front steering(AFS) system of vehicles.Then,a co-simulation and a Monte Carlo experiment were carried out using Carsim and Simulink.The results show that IMRUKF improves the ability of the state estimator by integrating multi-input information.Compared with the single-rate UKF algorithm,the IMRUKF algorithm has a higher stability and a smaller estimation error(with a reduction in the error of around 4.0% to 48.7%)." @default.
- W2364952581 created "2016-06-24" @default.
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- W2364952581 date "2012-01-01" @default.
- W2364952581 modified "2023-09-22" @default.
- W2364952581 title "Application of Multirate Unscented Kalman Filter to State Estimation in Vehicle's Active Front Steering System" @default.
- W2364952581 hasPublicationYear "2012" @default.
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