Resilient H∞ filtering for discrete-time system with multipath data packet dropout and quantization

作     者：Wang, Jian Chang, Xiao-Heng Xiong, Jun Li, Zhi-Min 

作者机构：Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan Hubei Peoples R China North China Inst Aerosp Engn Sch Elect & Control Engn Langfang Hebei Peoples R China 

出 版 物：《ASIAN JOURNAL OF CONTROL》 (亚洲控制杂志)

年 卷 期：2023年第25卷第4期

页      面：3067-3082页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0811[工学-控制科学与工程] 

基　　金：National Natural Science Foundation of China Science and Technology Project of Hebei Education Department 61773298 62173261 62003006 BJK2022053 

主　　题：data packet dropout dynamic quantizer resilient filter two-step method 

摘      要：This paper proposes a two-step method to design a resilient filter and two dynamic quantizers for a class of discrete-time systems. In the first step, a filter is designed to make the discrete-time system stochastically stable, and make the H infinity$$ {H}_{\infty } $$ norm between the filtering error and the external disturbance less than a given level. In the second step, two dynamic quantizers, which quantify the measurement output signal and the performance output signal, respectively, are designed under the condition that the filter gain matrices are obtained. In addition, the filter adopted in this paper takes the randomly occurring uncertainty into consideration, and the quantizers are designed by an inequality scaling technique which can reduce the complexity of linear matrix inequalities. Furthermore, this paper also considers the data packet dropout that may occur during network transmission. Finally, considering the data packet dropout and quantization of measurement output signal and performance output signal, the effectiveness of the proposed filter design method is demonstrated by two simulation examples.