Weighted Average Consensus-Based Cubature Information Filtering for Mobile Sensor Networks with Intermittent Observations

被引：0
|
作者：
Tan, Qingke [1 ]
Dong, Xiwang [1 ]
Liu, Fei [1 ]
Li, Qingdong [1 ]
Ren, Zhang [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Distributed Estimation; Weighted Average Consensus; Cubature Information Filtering; Mobile Sensor Network; Intermittent Observations; STOCHASTIC STABILITY; NONLINEAR-SYSTEMS;
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 problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.
引用
收藏
页码：8946 / 8951
页数：6
相关论文
共 29 条
  • [1] Information Consensus-based Distributed Cubature Kalman Filtering Algorithm with Intermittent Observations
    Wang N.
    Li Y.
    Qi G.
    Sheng A.
    Binggong Xuebao/Acta Armamentarii, 2021, 42 (11): : 2396 - 2408
  • [2] Distributed cubature information filtering based on weighted average consensus
    Chen, Qian
    Wang, Wancheng
    Yin, Chao
    Jin, Xiaoxiang
    Zhou, Jun
    NEUROCOMPUTING, 2017, 243 : 115 - 124
  • [3] Distributed event-triggered cubature information filtering based on weighted average consensus
    Tan, Qingke
    Dong, Xiwang
    Li, Qingdong
    Ren, Zhang
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (01) : 78 - 86
  • [4] Weighted Average Consensus-Based Unscented Kalman Filtering
    Li, Wangyan
    Wei, Guoliang
    Han, Fei
    Liu, Yurong
    IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (02) : 558 - 567
  • [5] Consensus based Distributed Unscented Information Filtering for Air Mobile Sensor Networks
    Wang, Lin
    Wang, Nan
    Zhu, Huayong
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 492 - 495
  • [6] Adaptive Distributed Estimation for Mobile Sensor Networks Based on Cubature Kalman Filtering
    Tan Qingke
    Dong Xiwang
    Li Qingdong
    Ren Zhang
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3550 - 3555
  • [7] Consensus-based unscented Kalman filtering over sensor networks with communication protocols
    Sheng, Li
    Huai, Wuxiang
    Niu, Yichun
    Gao, Ming
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (13) : 6349 - 6368
  • [8] Robust Distributed Consensus-Based Filtering for Uncertain Systems over Sensor Networks
    Rocha, Kaio D. T.
    Terra, Marco H.
    IFAC PAPERSONLINE, 2020, 53 (02): : 3571 - 3576
  • [9] On Consensus-Based Distributed Blind Calibration of Sensor Networks
    Stankovic, Milos S.
    Stankovic, Srdjan S.
    Johansson, Karl Henrik
    Beko, Marko
    Camarinha-Matos, Luis M.
    SENSORS, 2018, 18 (11)
  • [10] Average information-weighted consensus filter for target tracking in distributed sensor networks with naivety issues
    Yao, Peng
    Liu, Gang
    Liu, Yanfei
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2018, 32 (05) : 681 - 699
123