Event-Triggered Extended Kalman Filtering Analysis for Networked Systems

Huijuan Zhao, Jiapeng Xu and Fangfei Li
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Huijuan Zhao: School of Mathematics, East China University of Science and Technology, Shanghai 200237, China
Jiapeng Xu: Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
Fangfei Li: School of Mathematics, East China University of Science and Technology, Shanghai 200237, China

Mathematics, 2022, vol. 10, issue 6, 1-12

Abstract: In this paper, the filtering problem of nonlinear networked systems with event-triggered data transmission tasks is studied. To reduce the transmission of excessive measurement data in the bandwidth-limited network, a data transmission mechanism with event trigger is introduced to analyze the error behavior of the extended Kalman filter. We prove that the real estimation error and error covariance matrices can be determined by restricting the initial conditions appropriately. Finally, the effectiveness of the filtering algorithm is verified by simulation.

Keywords: extended Kalman filter; event-triggered; nonlinear systems; estimation error analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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