State and information estimation for linear and nonlinear systems

被引：2

作者：

Mutambara, AGO ^{[1
]}

Al-Haik, MS ^{[1
]}

机构：

[1] FAMU FSU, Coll Engn, Tallahassee, FL 32310 USA

来源：

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 1999年 / 121卷 / 02期

关键词：

D O I：

10.1115/1.2802474

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new information space based estimation algorithm for nonlinear systems is presented. First, nn outline of the algebraic equivalent of the Kalman Jitter, the Information filter, is discussed Employing the principles used in the derivation of the extended Kalman filter (EKF), the linens information space is then extended to nonlinear information space. In this way, the extended Information filter (EIF) is derived, which is the key contribution of the paper.

引用

页码：318 / 320

页数：3

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