NAVIGATE

Table of Contents

STATISTICS

Viewed898

Downloads708

H∞ Filtering for Cyber Physical Systems with Random Multiple Packet Loss with Quantization Error
[HTML]   PDF下载 (708)
[1]ZHANG Duanjin,LIU Mengkai,DU Zheng.H∞ Filtering for Cyber Physical Systems with Random Multiple Packet Loss with Quantization Error[J].Journal of Zhengzhou University (Engineering Science),2023,44(03):30-36.[doi:10.13705/j.issn.1671-6833.2023.03.001]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 44卷 Number of periods: 2023 03 Page number: 30-36 Column: Public date: 2023-04-30
Title:
H∞ Filtering for Cyber Physical Systems with Random Multiple Packet Loss with Quantization Error
Author(s):
ZHANG Duanjin; LIU Mengkai; DU Zheng
School of Electrical and Information Engineering, Zhengzhou University, 450001, Zhengzhou, Henan

Keywords:
cyber physical systems;  quantization error;  continuous random packet loss;  H∞ filtering;  Delta operator
CLC:
TP273
DOI:
10.13705/j.issn.1671-6833.2023.03.001
Abstract:
The H∞ filtering for cyber physical systems with incomplete information transmission was studied. This phenomenon mainly included quantization error caused by communication equipment defects and continuous random multiple packet loss caused by inherent network factors. The state space model of cyber physical systems and H∞ filter model were constructed by using Delta operator discretization method. Through analysis and modeling, the filter error system was obtained by combining quantization error and packet loss model with filter model. Then, by using Lyapunov stability theory and Schur complement lemma, two theorems guaranteeing asymptotic stability and H∞ performance were deduced. The filter was verified by simulation based on target tracking system. Assuming that the parameters of quantizer were fixed，with the increase of the maximum number of packet loss，the H∞ performance index γ increased gradually. Which indicate that the more serious the packet loss，the greater the impact on the stability of the system，but the designed filter still could meet the stability condition. Simulation results showed that the proposed filtering method was effective.
References:
[1] OLOWONONI F O, RAWAT D B, LIU C M. Resilient machine learning for networked cyber physical systems: a survey for machine learning security to securing machine learning for CPS[J]. IEEE Communications Surveys &Tutorials, 2021, 23(1): 524-552.
[2] BANDYSZAK T, DAUN M, TENBERGEN B, et al. Orthogonal uncertainty modeling in the engineering of cyber-physical systems[J]. IEEE Transactions on Automation Science and Engineering, 2020, 17(3): 1250-1265.
[3] HAN D. Constrained remote state estimation: a stochastic scheduling approach[D]. Hong Kong:Hong Kong University of Science and Technology,2015.[4] BAIDOO E, HU J R, ZHAN L. Kalman filtering method for sparse off-grid angle estimation for bistatic multiple-input multiple-output radar[J]. IET Radar, Sonar &Navigation, 2020, 14(2): 313-319.
[5] LIU M J, ZHANG D J. H2/H∞ filtering for delta operator networked systems with multi-channel delay, packet dropout and sequence disorder[C]∥2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Piscataway: IEEE, 2020: 4460-4465.
[6] SUN S L, XIAO W D. Optimal linear estimators for systems with multiple random measurement delays and pa-cket dropouts[J]. International Journal of Systems Science, 2013, 44(2): 358-370.
[7] MIDDLETON R, GOODWIN G. Improved finite word length characteristics in digital control using delta operators[J]. IEEE Transactions on Automatic Control, 1986, 31(11): 1015-1021.
[8] GOODWIN G C, LEAL R L, MAYNE D Q, et al. Rapprochement between continuous and discrete model ref-erence adaptive control[J]. Automatica, 1986, 22(2): 199-207.
[9] FU M Y, XIE L H. The sector bound approach to quantized feedback control[J]. IEEE Transactions on Automatic Control, 2005, 50(11): 1698-1711.
[10] YANG H J. Analysis and synthesis of delta operator systems[M]. Berlin: Springer, 2012.
[11] 俞立. 鲁棒控制: 线性矩阵不等式处理方法[M]. 北京: 清华大学出版社, 2002.YU L. Robust control: linear matrix inequality method[M]. Beijing: Tsinghua University Press, 2002.
[12] 张端金, 王钟堃. 具有丢包的未知转移概率Markov跳变系统鲁棒H∞滤波[J]. 郑州大学学报(工学版), 2021, 42(6): 1-6, 41.ZHANG D J, WANG Z K. Robust H∞ filtering for Mar-kov jump systems with unknown transition probabilities and packet dropouts[J]. Journal of Zhengzhou University (Engineering Science), 2021, 42(6): 1-6, 41.
Similar References:
Memo

-

Last Update: 2023-05-08
Copyright © 2023 Editorial Board of Journal of Zhengzhou University (Engineering Science)