Optimal Networked State Estimation for Out-of-Sequence Measurement System with Uncertain Delay
GE Quan-bo1,2, FENG Xiao-liang3, XU Ting-liang3
1. Institute of Information and Control,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China;2. State Key Laboratory of Industrial Control Technology,Institute of Industrial Process Control,Zhejiang University,Hangzhou,Zhejiang 310027,China;3. College of Computer and Information Engineering,Hohai University,Nanjing, Jiangsu 210098,China
Abstract：We study the optimal networked estimation of a kind of Linear Time Invariant (LTI) or determinate parameters systems with uncertain "Out-Of-Sequence" Measurement (OOSM) induced by random communication delays.Both available properties,which are off-line computation of filter’s parameters for these systems and linear weighted combination for the Linear Minimum Mean Square Error (LMMSE) estimate,are fully used to present the weighted summation form of the Kalman filter (KF).Afterward,two optimal delayed filters for different uncertain OOSM systems are proposed on the basis of the linear weighted summation filter.At last,four simulation examples are demonstrated to validate the effectiveness and superiority of the proposed networked estimators.
葛泉波;冯肖亮;徐廷梁. 不确定无序量测系统的最优网络化状态估计[J]. 电子学报, 2011, 39(3A): 7-13.
GE Quan-bo;FENG Xiao-liang;XU Ting-liang. Optimal Networked State Estimation for Out-of-Sequence Measurement System with Uncertain Delay. Chinese Journal of Electronics, 2011, 39(3A): 7-13.
2011, Vol. 39 
