Encoding-Decoding-Based Recursive Filtering for Fractional-Order Systems
Encoding-Decoding-Based Recursive Filtering for Fractional-Order Systems作者机构：Artificial Intelligence Energy Research InstituteNortheast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent ControlNortheast Petroleum UniversityDaqing 163318 Sanya Offshore Oil&Gas Research InstitueSanya 572025China IEEE
出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)
年 卷 期：2022年第9卷第6期
页 面：1103-1106页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 080902[工学-电路与系统] 08[工学] 0839[工学-网络空间安全] 0811[工学-控制科学与工程]
基 金：supported in part by the National Natural Science Foundation of China(U21A2019,61873058,61933007,62103095) the Hainan Province Science and Technology Special Fund(ZDYF2022SHFZ105) the Natural Science Foundation of Heilongjiang Province of China(LH2021F005) the Alexander von Humboldt Foundation of Germany。
摘 要：Dear editor,This letter focuses on the encoding-decoding-based recursive filtering problem for a class of fractional-order systems.For the purpose of protecting security of the wireless communication network,a dynamic-quantization-based encoding-decoding mechanism is introduced to encrypt the transmitted measurement.Specifically,the measurement outputs are first encoded by the encoder into codewords which are then transmitted over the wireless communication network.After received by the decoder,the codewords are decoded and then sent to the filter.In light of the mathematical properties of truncated Gaussian distribution,the variance of the encoding-decoding-induced error between the decoded measurement and the real measurement is derived.An upper bound on the filtering error covariance is first obtained based on the variance of the encoding-decoding-induced error.Then,the minimal upper bound is derived by choosing proper filter gain.Finally,the efficiency and superiority of the proposed algorithm are verified through a simulation example.
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