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H∞ Filtering for Cyber Physical Systems with Random Multiple Packet Loss with Quantization Error
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[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]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 44 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:
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Last Update: 2023-05-08
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