随机2-D系统的集员状态估计  

SET-MEMBERSHIP STATE ESTIMATION OF STOCHASTIC 2-D SYSTEM

作　　者：盛梅[1] 王为群[1] 邹云[2] 

机构地区：[1]南京理工大学应用数学系,江苏南京210094 [2]南京理工大学自动化系,江苏南京210094

出　　处：《南阳理工学院学报》2009年第1期27-30,共4页Journal of Nanyang Institute of Technology

基　　金：国家自然科学基金资助(60574015)

摘　　要：本文研究了噪声在有界椭球集的2-DFMII模型的状态向量的递推估计问题。从提高计算的有效性和可实现性出发,通过在不同的更新阶段采用优化定界椭球(OBE)算法,对该系统提出了一种新的状态估计方法。所得状态估计是状态空间里一个集合而不是单个向量。其中的最优估计是包含系统未知状态的最小容积椭球。The problem for recursive estimation of state vectors of 2-D FMII models with noise in bounding ellipsoidal sets is studied in this paper. A method based on optimal bounding ellipsoid （OBE） algorithmic procedure at each stage of updating is presented to improve computational efficiency and practicability. The state estimate thus obtained is actually a set in state space rather than a single vector, with the smallest calculable set including the unknown system state as the optimal estimate.

关 键 词：2-D系统 2-D FMII模型 优化定界椭球(OBE)算法 集员估计 

分 类 号：TG156[金属学及工艺—热处理]