kalman filterA novel parametric time-domain method for time varying spectral analysis of earthquake ground motions is presented. Based upon time varying autoregressive moving average (ARMA) modeling of earthquake ground motion, unscented Kalman filter (UKF) is used to estimate the time varying ARMA ...
Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective In this paper, we consider Kalman filtering over a packet-delaying network. Given the probability distribution of the delay, we can characterize the filter... S Ling,M Epstein,RM Murray - 《IEEE Transactions on Automatic...
In order to effectively solve the dynamic delay problem of the servo-hydraulic actuator, simplify the design of the compensator, and improve the robustness of the compensation, an unscented Kalman filter-based two-stage adaptive compensation (UKF-TAC) method is proposed for real-time hybrid ...
This paper addresses a novel method to estimate and compensate the random drift of MEMS gyroscopes in real time, combining unscented Kalman filter (UKF) with recurrent neural network (RNN). In the proposed method, the random drift is regarded as a generalized nonlinear autoregressive moving average...
An estimation model of time-varying origin-destination flows in expressway corridors based on unscented Kalman filter[J]. LI JunWei1, LIN BoLiang1, SUN ZhiHui2 & GENG XueFei1 1 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China; 2 ...
These mean that the new method BCPF-TDE is effective and reliability. 展开 关键词: adaptive time delay estimation particle filter (PF) cubature kalman filter (CKF) unscented particle filter (UPF) 会议名称: 2012 IEEE 11th International Conference on Signal Processing(ICSP 2012) ...
sensors Article LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter Wanli Liu School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China; lwl412101@cumt.edu.cn; Tel.: +86-516-...
An unscented Kalman filter rather than the traditional linear filter is adopted to obtain higher accuracy in the saturation region. After the relationship between the mean square error and the side-slip angle or the slip ratio is taken into account, the final identified value is set by combining...
Bisoi R, Dash PK (2014) A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter. Appl Soft Comput 19:41–56 Article Google Scholar Taylor JG (1996) Neural networks and their applications. Wiley, London Google Scholar Gaxiola F...
An estimation model of time-varying origin -destination flows in expressway corridors based on unscented Kalman filter On the basis of measurable time series of mainline and ramp flows from traffic counts and the assumption of travel time distributions, this research presen... LI Junwei,BL Lin,ZH...