Linear-fitting-based recursive filtering for nonlinear systems under encoding-decoding mechanism  

作　　者：Bo JIANG Hongli DONG Zhiwei GAO Yuxuan SHEN Fan YANG 

机构地区：[1]Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318,China [2]Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Daqing 163318,China [3]School of Electrical&Information Engineering,Northeast Petroleum University,Daqing 163318,China [4]Sanya Offshore Oil&Gas Research Institute,Northeast Petroleum University,Sanya 572024,China

出　　处：《Science China(Information Sciences)》2024年第5期179-192,共14页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China(Grant Nos.U21A2019,61873058,62103095);Hainan Province Science and Technology Special Fund(Grant No.ZDYF2022SHFZ105);Natural Science Foundation of Heilongjiang Province of China(Grant No.LH2021F005);Alexander von Humboldt Foundation of Germany.

摘　　要：This paper deals with a recursive filtering problem for a class of discrete time-varying nonlinear networked systems with the encoding-decoding mechanism.The linear fitting method is introduced to handle the nonlinearity.An encoding-decoding mechanism is constructed to describe the data transmission process in wireless communication networks(WCNs).To be specific,the measurement outputs are mapped by a quantizer to unique codewords for transmission in WCNs.Then,the codewords are decoded by the decoder to recover the measurement outputs which are sent to the filter.The processing/encoding delay and network delay have been considered.Firstly,on the premise that the upper bound of the filtering error covariance is minimum,the appropriate filtering gain is calculated.Then,the mean square exponential boundedness of the filtering error is analyzed.Finally,two simulation examples are presented to verify the effectiveness of the proposed algorithm.

关 键 词：encoding-decoding mechanism uniform quantizer linear fitting networked systems recursive filtering 

分 类 号：TN713[电子电信—电路与系统]