Comments on "Distributed information-weighted Kalman consensus filter for sensor networks"

被引：3

作者：

Cacace, Filippo ^{[1
]}

机构：

[1] Univ Campus Biomed Roma, Via Alvaro del Portillo 21, I-00128 Rome, Italy

来源：

AUTOMATICA | 2019年 / 109卷

关键词：

Multi-agent systems; Sensor networks; Information-weighted consensus;

D O I：

10.1016/j.automatica.2019.108552

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 recent paper proposes a novel distributed information-weighted Kalman consensus filter called IKCF for linear systems in a continuous-time setting. In this note we highlight the reasons for which IKCF is in general not locally optimal and in some cases may not attain consensus. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：2

共 3 条

[1] Consensus-Based Linear and Nonlinear Filtering [J].

Battistelli, G. ;

Chisci, L. ;

Mugnai, G. ;

Farina, A. ;

Graziano, A. .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (05) :1410-1415

[2] Distributed information-weighted Kalman consensus filter for sensor networks [J].

Ji, Honghai ;

Lewis, Frank L. ;

Hou, Zhongsheng ;

Mikulski, Dariusz .

AUTOMATICA, 2017, 77 :18-30

[3] Distributed Observers for LTI Systems [J].

Mitra, Aritra ;

Sundaram, Shreyas .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (11) :3689-3704

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