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

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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.

encoding-decoding mechanismuniform quantizerlinear fittingnetworked systemsrecursive filtering

Bo JIANG、Hongli DONG、Zhiwei GAO、Yuxuan SHEN、Fan YANG

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Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318,China

Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Daqing 163318,China

Sanya Offshore Oil & Gas Research Institute,Northeast Petroleum University,Sanya 572024,China

School of Electrical & Information Engineering,Northeast Petroleum University,Daqing 163318,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaHainan Province Science and Technology Special FundNatural Science Foundation of Heilongjiang Province of ChinaAlexander von Humboldt Foundation of Germany

U21A20196187305862103095ZDYF2022SHFZ105LH2021F005

2024

10.1007/s11432-023-3905-1

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子：0.715
ISSN：1674-733X
年,卷(期)：2024.67(5)
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