Improved fractional Kalman filter and its application to estimation over lossy networks

被引：56

作者：

Sierociuk, Dominik ^{[1
]}

Tejado, Ines ^{[2
]}

Vinagre, Bias M. ^{[2
]}

机构：

[1] Warsaw Univ Technol, Inst Control & Ind Elect, PL-00662 Warsaw, Poland

[2] Univ Extremadura, Sch Ind Engn, Badajoz 06006, Spain

来源：

SIGNAL PROCESSING | 2011年 / 91卷 / 03期

关键词：

Fractional Kalman filter; Estimation; Lossy networks; SYSTEMS; DESIGN; DELAYS;

D O I：

10.1016/j.sigpro.2010.03.014

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents improvements on the fractional Kalman filter (FKF) based on the infinite dimensional form of a linear discrete fractional order state-space system. Furthermore, taking into account the considerable interest in estimation over networks with packet losses, the application and extension of the improved FKF are included. Some simulation cases are given in order to demonstrate the effectiveness of the proposed algorithms, with significant improvements in terms of estimation and smoothing results. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：542 / 552

页数：11

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