Consensus-based algorithms for distributed filtering

被引：0

作者：

Battistelli, Giorgio ^{[1
]}

Chisci, Luigi ^{[1
]}

Mugnai, Giovanni ^{[1
]}

Farina, Alfonso ^{[2
]}

Graziano, Antonio ^{[2
]}

机构：

[1] Univ Florence, Dipartimento Sistemi & Informat, I-50139 Florence, Italy

[2] SELEX Sistemi Integrati, I-00175 Rome, Italy

来源：

2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2012年

关键词：

Distributed state estimation; sensor networks; consensus; nonlinear filtering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper addresses Distributed State Estimation (DSE) over sensor networks. Two existing consensus approaches for DSE of linear systems, named consensus on information (CI) and consensus on measurements (CM), are extended to nonlinear systems. Further, a novel hybrid consensus approach exploiting both CM and CI (named HCMCI=Hybrid CM + CI) is introduced in order to combine their complementary benefits. Novel theoretical results, limitedly to linear systems, on the guaranteed stability of the HCMCI filter under minimal requirements (i.e. collective observability and network connectivity) are proved. Finally, a simulation case-study is presented in order to comparatively show the effectiveness of the proposed consensus-based state estimators.

引用

页码：794 / 799

页数：6

共 15 条

[1]

[Anonymous], TECHNICAL REPORT

[2]

Battistelli G., 2011, 18th IFAC World Congress, P12477

[3] Distributed linear estimation over sensor networks [J].