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A Recursive Non-Uniform Sampling Estimator for Asynchronous Nonlinear Systems

In this paper, we consider the problem of asynchronous estimation in the presence of packet losses for the randomly sampling nonlinear system. Packet losses occur at the control input and at the measurement side. Firstly, the synchronization of the asynchronous sampling system is realized by weighti...

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Published in:	Sensors (Basel, Switzerland) Switzerland), 2024-05, Vol.24 (9), p.2882
Main Authors:	Yang, Yu-Hang, Liu, Jin-Gang, Song, Shen-Min
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Language:	English
Subjects:	Algorithms Analysis Communication covariance intersection fusion interpolation modelling Neural networks non-uniform sampling Parameter identification Random variables Sensors state estimation
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description	In this paper, we consider the problem of asynchronous estimation in the presence of packet losses for the randomly sampling nonlinear system. Packet losses occur at the control input and at the measurement side. Firstly, the synchronization of the asynchronous sampling system is realized by weighting the state of the adjacent state update points. Secondly, the projection theorem is used to estimate the system state at the sampling time. Due to modeling errors and unmodeled dynamics, obtaining an accurate dynamic model is challenging. Therefore, observation inference based on interpolation techniques is proposed to solve the asynchronous estimation problem. Furthermore, the algorithm is extended to multi-sensor systems to obtain a distributed fusion estimator. Finally, simulation experiments are conducted to validate the effectiveness of the algorithm.
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subjects	Algorithms Analysis Communication covariance intersection fusion interpolation modelling Neural networks non-uniform sampling Parameter identification Random variables Sensors state estimation
title	A Recursive Non-Uniform Sampling Estimator for Asynchronous Nonlinear Systems
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