摘要
本文提出一种连续时间大系统的递阶状态估计器的设计方法,它克服了较高级处理器的协调工作必须在整个优化区间迭代进行这一缺陷,并化之为估计随测量一起顺时递推计算。所导出的算法特别适宜于用多计算机系统来实现。
Large scale stochastic system＇s state estimation shares with its control the same difficulties of being high dimension and decentralized structure. Hierarchy method has made great success in the studies of large scale deterministic systems. Inspired by this, we proposed a design method for large scale continuous system state estimators. Much of fascination of the method comes from the fact that a resultant algorithm achieves a desired property: processing sensor data in sequence. As suggested in this paper, the algorithm is very suitable to realize by multi-computer systems.
出处
《控制与决策》
EI
CSCD
北大核心
1992年第1期58-62,共5页
Control and Decision
关键词
大系统
状态估计
递阶
large scale systems
state estimation
hierarchy
