中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications

文献类型:期刊论文

作者He, Xingkang2,3; Hu, Chen1; Hong, Yiguang3; Shi, Ling4; Fang, Hai-Tao3
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2020
卷号65期号:1页码:28-43
关键词Kalman filters Observability Covariance matrices STEM Protocols State estimation Collective observability communication rate consistency distributed kalman filter event-triggered multiagent systems state equality constraint (SEC)
ISSN号0018-9286
DOI10.1109/TAC.2019.2906462
英文摘要In this paper, we investigate a distributed estimation problem for multiagent systems with state equality constraints (SEC). First, under a time-based consensus communication protocol, applying a modified projection operator and the covariance intersection fusion method, we propose a distributed Kalman filter with guaranteed consistency and satisfied SEC. Furthermore, we establish the relationship between consensus step, SEC, and estimation error covariance in dynamic and steady processes, respectively. Employing a space decomposition method, we show that the error covariance in the constraint set can be arbitrarily small by setting a sufficiently large consensus step. Besides, we propose an extended collective observability (ECO) condition based on SEC, which is milder than existing observability conditions. Under the ECO condition, through utilizing a technique of matrix approximation, we prove the boundedness of error covariance and the exponentially asymptotic unbiasedness of state estimate, respectively. Moreover, under the ECO condition for linear time-invariant systems with SEC, we provide a novel event-triggered communication protocol by employing the consistency, and give an offline design principle of triggering thresholds with guaranteed boundedness of error covariance. More importantly, we quantify and analyze the communication rate for the proposed event-triggered distributed Kalman filter, and provide optimization based methods to obtain the minimal (maximal) successive nontriggering (triggering) times. Two simulations are provided to demonstrate the developed theoretical results and the effectiveness of the filters.
资助项目National Key Research and Development Program of China[2016YFB0901902] ; National Natural Science Foundation of China[61573344] ; National Natural Science Foundation of China[61733018] ; RGC General Research Fund[16222716]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000506851100003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50594]  
专题中国科学院数学与系统科学研究院
通讯作者He, Xingkang
作者单位1.Rocket Force Univ Engn, Xian 710025, Peoples R China
2.KTH Royal Inst Technol, Div Decis & Control Syst, SE-10044 Stockholm, Sweden
3.Chinese Acad Sci, Key Lab Syst & Control, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
He, Xingkang,Hu, Chen,Hong, Yiguang,et al. Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2020,65(1):28-43.
APA He, Xingkang,Hu, Chen,Hong, Yiguang,Shi, Ling,&Fang, Hai-Tao.(2020).Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,65(1),28-43.
MLA He, Xingkang,et al."Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 65.1(2020):28-43.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。