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Robust Predictive Augmented Unscented Kalman Filter
Yan Zhao,Shesheng Gao,Jing Zhang,Qiao-nan Sun 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.5
This paper presents a new Unscented Kalman Filtering (UKF) method by using robust model prediction. This method incorporates system driving noise in system state through augmentation of state space dimension to expand the input of system state information. The system model error is constructed by model prediction, and is then used to rectify the UKF process to obtain the estimate of the real system state. The proposed method endows the robustness to the traditional UKF, thus over-coming the limitation that the traditional UKF is sensitive to system model error. Experimental results show that the convergence rate and accuracy of the proposed filtering method is superior to the Ex-tended Kalman Filtering and traditional UKF.
The Diet Imbalance and Its Corrective Action in Chinese Athletes
Yang, ZeYi,Zhou, Lili,Yi, Muqing,Wang, Qirong,Gao, Hong,Xu, BaoHua,Qiao, Li,Chen, Jidi,Huang, Yuan,He, Cong,Wu, Wei,Sun, Nan,Chen, Rui 한국체육무용국제교류학회 2001 한국체육무용국제교류학회지 Vol.7 No.-
Diet is the most important substantial base to ensure athletes nutrients needs and maintain the performance. It is important for the Olympic Gold Medal Strategy. An athlete is like a racing car. Therere two key factors for the car to run faster: the engine and the gasoline. The physical components decide the engines highest power while the diet is like the gasoline the better quality of the gasoline is, the faster the urns. It is inconsistent between the importance of diet for competitive sports and the ubiquity of diet imbalance. It will influence the training efficiency and the recovery after training for a long time, and consequently hinder the improvement of the performance.