Real-time Kalman filtering based on distributed measurements

Author:

Cui Peng1,Zhang Huanshui1,Lam James2,Ma Lifeng3

Affiliation:

1. School of Control Science and Engineering; Shandong University; Jinan 250061 China

2. Department of Mechanical Engineering; The University of Hong Kong; Pokfulam Road Hong Kong

3. School of Automation; Nanjing University of Science and Technology; Nanjing 210094 China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference33 articles.

1. Ordered sequential filtering for finite dimensional systems with distributed observations;Sims;IEEE Transactions on Automatic Control,1975

2. Decentralized structures for parallel Kalman filtering;Hashmipour;IEEE Transactions on Automatic Control,1988

3. Fully decentralized algorithm for multisensor Kalman filtering;Rao;IEE Proceedings-D,1991

4. Theory of distributed estimation using multiple asynchronous sensors;Alouani;IEEE Transactions on Aerospace and Electronic Systems,2005

5. Power-efficient dimensionality reduction for distributed channel-aware Kalman tracking using WSNs;Zhu;IEEE Transactions on Signal Processing,2009

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distributed recursive filtering under random access protocols: A multirate strategy;International Journal of Robust and Nonlinear Control;2022-05-16

2. Recursive Filtering With Measurement Fading: A Multiple Description Coding Scheme;IEEE Transactions on Automatic Control;2021-11

3. A robust identification method for stochastic nonlinear parameter varying systems;Mathematical Modelling and Control;2021

4. Recursive Set-Membership State Estimation Over a FlexRay Network;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2021

5. A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks;IEEE Transactions on Automatic Control;2020-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3