Disorder-resistant fusion estimator design for nonlinear stochastic systems in the presence of measurement quantization

In this paper, we thoroughly study a new nonlinear disorder-resistant fusion estimation problem under both packet disorder and measurement quantization. Packet disorder, which occurs due mainly to random transmission delays (RTDs), are characterized via a series of integer-valued functions and rando...

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Bibliographic Details
Published inInformation sciences Vol. 662; p. 120251
Main Authors Geng, Hang, Wang, Zidong, Hu, Jun, Lu, Guoping, Han, Qing-Long, Cheng, Yuhua
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.03.2024
Subjects
Measurement quantization
Nonlinear fusion
Packet disorder
Transmission delays
Packet disorder
Nonlinear fusion
Measurement quantization
Transmission delays
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Summary:In this paper, we thoroughly study a new nonlinear disorder-resistant fusion estimation problem under both packet disorder and measurement quantization. Packet disorder, which occurs due mainly to random transmission delays (RTDs), are characterized via a series of integer-valued functions and random variables obeying certain distributions. Sensor measurements are logarithmically quantized before entering designated communication networks. The upper bounds on the filtering error covariances are acquired and later minimized by appropriately designing gain parameters of both local and fusion estimators. For fusion estimation, all local estimates and filtering covariances are integrated at a fusion center through the well-known federated criterion. Moreover, the fusion performance is examined by means of assessing the resistance of the designed estimator against the RTD-induced disorder. Simulation examples are presented to illustrate the applicability of the proposed disorder-resistant fusion estimator.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2024.120251