DECENTRALIZED COMPUTATIONAL ALGORITHM FOR GLOBAL KALMAN FILTER

被引：44

作者：

HASSAN, MF

SALUT, G

SINGH, MG

TITLI, A

机构：

[1] Laboratoire d’Automatique et d’Analyse des Systems du, C.N.R.S., Toulouse

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1978年 / 23卷 / 02期

关键词：

D O I：

10.1109/TAC.1978.1101713

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a new decentralized computational structure is developed for optimal state estimation in large scale linear interconnected dynamical systems. The new filter uses a hierarchical structure to perform successive orthogonalizations on the measurement subspaces of each subsystem in order to provide the optimal estimate. This ensures substantial savings in computation time. In addition, since only low-order subsystem equations are manipulated at each stage, numerical inaccuracies are reduced, and the filter remains stable for even high-order systems. This is illustrated on a multimachine example of a system comprising eleven interconnected machines. © 1978 IEEE

引用

页码：262 / 268

页数：7

共 13 条

[1] MULTILEVEL DISCRETE-TIME SYSTEM IDENTIFICATION IN LARGE-SCALE SYSTEMS [J].