Finite-Horizon H8 Filtering via a High-Rate Network With the FlexRay Protocol

被引:24
|
作者
Liu, Shuai [1 ]
Wang, Zidong [2 ]
Wang, Licheng [3 ]
Wei, Guoliang [4 ]
机构
[1] Univ Shanghai Sci & Technol, Coll Sci, Shanghai 200093, Peoples R China
[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, England
[3] Shanghai Univ Elect Power, Coll Automat Engn, Shanghai 200090, Peoples R China
[4] Univ Shanghai Sci & Technol, Business Sch, Shanghai 200093, Peoples R China
基金
中国国家自然科学基金;
关键词
H-8; filtering; finite horizon; FlexRay communica-tion protocol; high-rate network; time-varying systems; TIME-VARYING SYSTEMS; STOCHASTIC NONLINEARITIES; STATE ESTIMATION; STABILIZATION; STABILITY;
D O I
10.1109/TAC.2022.3190791
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article addresses the finite-horizon H-8 filtering problem for a class of discrete time-varying nonlinear systems over high-rate networks whose signal exchanges are scheduled by the FlexRay protocol. To improve the efficiency of the data transmission, a high-rate network is deployed for the measurement signals to be broadcasted from the sensors to the filter. The FlexRay protocol is embedded into the high-rate network to orchestrate the transmission rule of the signals with different attributes, thereby further enhancing the transmission flexibility. On the basis of the round-robin and try-once-discard protocols, a novel FlexRayprotocol-based measurement model is proposed by using certain data holding strategies. A sufficient condition is provided to guarantee that the filtering error dynamics meets the desirable disturbance attenuation level against exogenous disturbances over a finite horizon. The parameterized form of the filter gain is attained by the solutions to some matrix inequalities. Numerical simulation is carried out to substantiate the proposed filter design algorithm.
引用
收藏
页码:3596 / 3603
页数:8
相关论文
共 29 条
  • [1] On H∞ Finite-Horizon Filtering Under Stochastic Protocol: Dealing With High-Rate Communication Networks
    Zou, Lei
    Wang, Zidong
    Hu, Jun
    Gao, Huijun
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (09) : 4884 - 4890
  • [2] Finite-Horizon H∞ Filtering With Missing Measurements and Quantization Effects
    Wang, Zidong
    Dong, Hongli
    Shen, Bo
    Gao, Huijun
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (07) : 1707 - 1718
  • [3] H∞ finite-horizon filtering for complex networks with state saturations: The weighted try-once-discard protocol
    Wang, Dong
    Wang, Zidong
    Shen, Bo
    Li, Qi
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (07) : 2096 - 2111
  • [4] Finite-Horizon Robust H∞ Filtering for Genetic Regulatory Networks with Missing Measurements
    Liang Jinling
    Sun Fangbin
    Wang Fan
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 6879 - 6884
  • [5] VARIANCE-CONSTRAINED H∞ FINITE-HORIZON FILTERING FOR MULTI-RATE TIME-VARYING NETWORKED SYSTEMS BASED ON STOCHASTIC PROTOCOLS
    Lyu, Ming
    Zhang, Jie
    Bo, YuMing
    KYBERNETIKA, 2020, 56 (01) : 127 - 151
  • [6] On quantized H∞ filtering for multi-rate systems under stochastic communication protocols: The finite-horizon case
    Liu, Shuai
    Wang, Zidong
    Wang, Licheng
    Wei, Guoliang
    INFORMATION SCIENCES, 2018, 459 : 211 - 223
  • [7] Finite-Horizon H∞ Fault Estimation for Time-Varying Systems with Random Access Protocol
    Zou, Lei
    Wang, Zidong
    Zhou, Donghua
    IFAC PAPERSONLINE, 2018, 51 (24): : 314 - 319
  • [8] Robust H∞ finite-horizon filtering with randomly occurred nonlinearities and quantization effects
    Shen, Bo
    Wang, Zidong
    Shu, Huisheng
    Wei, Guoliang
    AUTOMATICA, 2010, 46 (11) : 1743 - 1751
  • [9] H∞ Finite-horizon Filtering for Discrete Piecewise Linear Systems With Infinite Distributed Delays and Quantization Effect
    Li, Jiajia
    Wei, Guoliang
    Zhao, Di
    Wang, Jianhua
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 5507 - 5512
  • [10] Finite-horizon H∞ state estimation for artificial neural networks with component-based distributed delays and stochastic protocol
    Zhao, Zhongyi
    Wang, Zidong
    Zou, Lei
    Liu, Hongjian
    NEUROCOMPUTING, 2018, 321 : 169 - 177