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A Recursive Non-Uni; m Sampling Estimator; Asynchronous Nonlinear Systems
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DOI：10.3390/s24092882.png)
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Abstract
En 中文
In this paper, we consider the problem of asynchronous estimation in the presence of packet losses;
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. There;
e, 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.
Keywords:
interpolation
modelling
state estimation
non-uni
m sampling
covariance intersection fusion
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