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受有线无线异构网络诱导延时和数据丢包约束的分布式网络化H2/H滤波研究

杜大军 漆波 费敏锐

杜大军, 漆波, 费敏锐. 受有线无线异构网络诱导延时和数据丢包约束的分布式网络化H2/H∞滤波研究. 自动化学报, 2016, 42(2): 213-225. doi: 10.16383/j.aas.2016.c150465
引用本文: 杜大军, 漆波, 费敏锐. 受有线无线异构网络诱导延时和数据丢包约束的分布式网络化H2/H滤波研究. 自动化学报, 2016, 42(2): 213-225. doi: 10.16383/j.aas.2016.c150465
DU Da-Jun, QI Bo, FEI Min-Rui. Distributed H2/H∞ Filtering for Hybrid Wired-wireless Networked Systems with Network-induced Delays and Packet Losses Constraints. ACTA AUTOMATICA SINICA, 2016, 42(2): 213-225. doi: 10.16383/j.aas.2016.c150465
Citation: DU Da-Jun, QI Bo, FEI Min-Rui. Distributed H2/H Filtering for Hybrid Wired-wireless Networked Systems with Network-induced Delays and Packet Losses Constraints. ACTA AUTOMATICA SINICA, 2016, 42(2): 213-225. doi: 10.16383/j.aas.2016.c150465

受有线无线异构网络诱导延时和数据丢包约束的分布式网络化H2/H滤波研究

doi: 10.16383/j.aas.2016.c150465
基金项目: 

上海市科委项目 14JC1402200

国家重大科学仪器设备开发专项课题 2012YQ15008703

上海市科委项目 15JC1401900

国家自然科学基金 61473182

上海市科委项目 15220710400

国家自然科学基金 61533010

详细信息
    作者简介:

    杜大军 上海大学机电工程与自动化学院副研究员.主要研究方向为网络化控制系统的滤波与先进控制.E-mail:ddj@shu.edu.cn

    费敏锐 上海大学机电工程与自动化学院教授.主要研究方向为网络化控制系统及实现.E-mail:mrfei@staff.shu.edu.cn

    通讯作者:

    漆波 上海大学机电工程与自动化学院硕士研究生.主要研究方向为网络化系统滤波.本文通信作者.E-mail:qibo1990@hotmail.com

Distributed H2/H Filtering for Hybrid Wired-wireless Networked Systems with Network-induced Delays and Packet Losses Constraints

Funds: 

Science and Technology Commission of Shanghai Municipality 14JC1402200

National Key Scientific Instrument and Equipment Development Project 2012YQ15008703

Science and Technology Commission of Shanghai Municipality 15JC1401900

Supported by National Natural Science Foundation of China 61473182

Science and Technology Commission of Shanghai Municipality 15220710400

Supported by National Natural Science Foundation of China 61533010

More Information
    Author Bio:

    Associate professor at the School of Mechatronics Engineering and Automation, Shanghai University. His research interest covers filtering and advanced control for networked control systems

    Professor at the School of Mechatronics Engineering and Automation, Shanghai University. His research interest covers networked control system and its implementation

    Corresponding author: QI Bo Master student at the School of Mechatronics Engineering and Automation, Shanghai University. His research interest covers filtering for networked systems. Corresponding author of this paper
  • 摘要: 针对分布式有线无线异构网络化滤波系统中部署在不同地理空间的多传感器通过无线网络与每个局部融合中心通信, 然后测量数据被传到网关并进行协议转换后通过有线网络传输到对应的分布式滤波器, 会导致数据传输出现分布式有线无线网络诱导延时和数据丢包, 使得H2/H滤波更加困难的问题, 本文首先采用有向图描述分布式传感器节点的通信拓扑, 然后运用Markov链和伯努利分布分别刻画分布式有线无线网络诱导延时和数据丢包特性, 进而建立了融合分布式滤波器参数、有线无线异构网络通信约束的普适滤波误差动态系统综合模型.理论上证明了在分布式有线无线异构网络通信约束下所设计的滤波器使得滤波误差动态系统随机稳定且满足给定的H2/H性能指标, 并建立了系统随机稳定性、分布式滤波器参数及最长有线无线网络诱导延时和数据丢包之间的关系.最后, 仿真实例验证了本文所提方法是可行且有效.
  • 图  1  分布式有线无线异构网络化 ${H_2}/{H_\infty }$ 滤波示意图

    Fig.  1  Distributed ${H_2}/{H_\infty }$ filtering for hybridwired-wireless networked systems

    图  2  传感器到局部融合中心J的通信拓扑示意图

    Fig.  2  Communication topology from sensors to local fusioncenter J

    图  3  传感器到局部融合中心J的时序示意图

    Fig.  3  Timing diagram from sensors to local fusion centerJ

    图  4  k时刻信号在有线无线异构网络的传输时序图

    Fig.  4  Timing diagram of signal through hybridwired-wireless networks at the $k{\rm th}$ instant

    图  5  传感器与局部融合中心通信拓扑示意图 (N=2)

    Fig.  5  The communication topology from sensors to localfusion centers (N=2)

    图  6  网络状态图 (值1到8分别代表模态1到模态8)

    Fig.  6  Networked state (Numerical values 1 to 8 represent Mode1 to 8.)

    图  7  被调输出和两个不同滤波器的估计输出

    Fig.  7  The controlled output and estimated outputs of twodifferent filters

    图  8  两个不同滤波误差动态系统的误差

    Fig.  8  The dynamic outputs errors of two differentfilters

    表  1  最优扰动衰减性能指标对比

    Table  1  Comparison of the minimum noise attenuation level

    有线无线异构网络数据丢包率 (α, β) 最优扰动衰减性能指标 (γ*)
    α=0.2, β=0.3 4.5911E-005
    α=0.6, β=0.3 4.3237E-005
    α=0.2, β=0.7 4.6150E-005
    α=0.6, β=0.7 4.3381E-005
    下载: 导出CSV

    表  2  不同模态下两个滤波器的 ${H_2}/{H_\infty }$ 性能指标

    Table  2  The ${H_2}/{H_\infty }$ noise attenuation level underdifferent models in two filters

    h1(%) h2(%) h3(%) h4(%) h5(%) h6(%) h7(%) h8(%) 滤波器1的H2/H性能指标 (γ) 滤波器2的H2/H性能指标 (γ)
    18 8 10 10 18 7 11 18 5.9365E-07 5.9372E-07
    17 10 8 16 15 11 9 14 5.7665E-07 5.7662E-07
    17 10 8 12 13 14 11 15 5.2931E-07 5.2702E-07
    下载: 导出CSV
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