网络化最优预测状态估计

当网络诱导时延和数据包丢失确定可知时,提出了一种网络化最优预测状态估计器设计方法,能够补偿网络诱导时延和数据包丢失对估计性能的影响,理论分析表明了随着网络诱导时延或数据包丢失的增加,该估计器在获得明显补偿效果的同时预测估计偏差略微递增,并给出了估计系统的稳定性条件,最后通过仿真和实验验证了所提出方法的有效性和理论分析的正确性.

Networked optimal predictive state estimation

When the network-induced time-delay and the packet-loss are known, we propose a method for designing the networked optimal predictive state-estimator in which the effects of the network-induced time-delay and the packet loss on the estimator performance can be compensated. Although the estimator is effectively compensated, however, theoretical analysis shows that the estimation error increases appreciably with the increment of network-induced time-delay and the packet loss. The stability condition of the estimation system is also explored. Simulation and experiment results are given to show the effectiveness of the proposed method and the validity of the theoretical analysis.