Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol

被引:105
|
作者
Shen, Yuxuan [1 ,5 ]
Wang, Zidong [2 ]
Shen, Bo [1 ,5 ]
Alsaadi, Fawaz E. [3 ]
Alsaadi, Fuad E. [4 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 200051, Peoples R China
[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England
[3] King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Technol, Jeddah 21589, Saudi Arabia
[4] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
[5] Minist Educ, Engn Res Ctr Digitalized Text & Fash Technol, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金; 上海市自然科学基金;
关键词
Fusion estimation; Linear repetitive processes; Multi-rate sampling; Weighted try-once-discard protocol; Sequential covariance intersection fusion; COMMUNICATION PROTOCOLS; NONLINEAR-SYSTEMS; KALMAN FILTER; STATE; FAULT; SATURATIONS;
D O I
10.1016/j.inffus.2019.08.013
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the fusion estimation problem is studied for a class of discrete time-varying multi-rate linear repetitive processes (LRPs) under weighted try-once-discard protocol. The LRPs are measured by multiple sensors that are allowed to have different sampling periods, and the state updating period of the LRPs is also allowed to be different from the sampling periods of the asynchronous sensors. To facilitate the estimator design, the lifting technique is applied to transform the multi-rate LRPs to single-rate ones. Moreover, due to limited communication capability, the weighted try-once-discard protocol is adopted to schedule the asynchronous sensors. A set of local estimators is designed such that the upper bounds on the local estimation error covariances are guaranteed, and such upper bounds are then minimized by appropriately designing the estimator gains. Furthermore, the estimates from the local estimators are fused by recurring to the sequential covariance intersection fusion method. Finally, a simulation example is given to demonstrate the effectiveness of the proposed fusion estimation scheme.
引用
收藏
页码:281 / 291
页数:11
相关论文
共 50 条
  • [41] Recursive Filtering for Time-Varying Discrete Sequential Systems Subject to Deception Attacks: Weighted Try-Once-Discard Protocol
    Li, Xin
    Wei, Guoliang
    Ding, Derui
    Liu, Shuai
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (06): : 3704 - 3713
  • [42] Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its application
    Shen H.
    Liu X.
    Wang J.
    Shi K.
    Information Sciences, 2023, 626 : 390 - 406
  • [43] Robust finite-horizon filtering for nonlinear time-delay Markovian jump systems with weighted try-once-discard protocol
    Liu, Lei
    Wang, Yiwen
    Ma, Lifeng
    Zhang, Jie
    Bo, Yuming
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2018, 6 (01): : 180 - 194
  • [44] Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control
    Rao, Hongxia
    Long, Yun
    Zhao, Yao
    Xiao, Zijing
    Liu, Chang
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (10) : 2108 - 2121
  • [45] Observer-Based Fuzzy PID Tracking Control Under Try-Once-Discard Communication Protocol: An Affine Fuzzy Model Approach
    Wang, Yezheng
    Wang, Zidong
    Zou, Lei
    Dong, Hongli
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (04) : 2352 - 2365
  • [46] An approximate minimum mean-square error estimator for linear discrete time-varying systems: Handling Try-Once-Discard protocol
    Liu, Qinyuan
    Wang, Zidong
    He, Xiao
    Dong, Hongli
    Jiang, Changjun
    AUTOMATICA, 2023, 147
  • [47] Distributed Filter Design Over Sensor Networks Under Try-Once-Discard Protocol: Dealing With Sensor-Bias-Corrupted Measurement Censoring
    Geng, Hang
    Wang, Zidong
    Ma, Lifeng
    Cheng, Yuhua
    Han, Qing-Long
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (05): : 3032 - 3043
  • [48] New results on H∞ control for interval type-2 fuzzy singularly perturbed systems with fading channel: The weighted try-once-discard protocol case
    Hu, Yue
    Cai, Chenxiao
    Lee, SeungHoon
    Lee, YongGwon
    Kwon, Oh -Min
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 448
  • [49] Interval Type-2 Fuzzy-Model-Based Filtering for Nonlinear Systems With Event-Triggering Weighted Try-Once-Discard Protocol and Cyberattacks
    Liu, Jinliang
    Gong, Enyu
    Zha, Lijuan
    Tian, Engang
    Xie, Xiangpeng
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (03) : 721 - 732
  • [50] Dynamic output-feedback fuzzy MPC for Takagi-Sugeno fuzzy systems under event-triggering-based try-once-discard protocol
    Dong, Yuying
    Song, Yan
    Wang, Jianhua
    Zhang, Bin
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (04) : 1394 - 1416