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Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.23061
Abstract: This paper is concerned with fault detection of a kind of nonlinear dynamic systems. Based on the framework of hierarchy information processing, the scope of the fault is first being located by use of the…
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Keywords:
fault detection;
fault;
kalman filter;
cubature kalman ... See more keywords
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Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4709
Abstract: This paper is concerned with the distributed fusion estimation problem for multisensor nonlinear systems. Based on the Kalman filtering framework and the spherical cubature rule, a general method for calculating the cross‐covariance matrices between any…
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Keywords:
fusion cubature;
cubature kalman;
distributed fusion;
nonlinear systems ... See more keywords
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Published in 2022 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2021.08.013
Abstract: Abstract This paper continues our research devoted to an accurate nonlinear Bayesian filters' design. Our solution implies numerical methods for solving ordinary differential equations (ODE) when propagating the mean and error covariance of the dynamic…
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Keywords:
cubature kalman;
extended cubature;
discrete extended;
continuous discrete ... See more keywords
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Published in 2019 at "Advances in Space Research"
DOI: 10.1016/j.asr.2018.10.003
Abstract: Abstract This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented Kalman Filter. Currently these estimators are the subject of great interest in…
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Keywords:
cubature kalman;
filter unscented;
filter;
extended kalman ... See more keywords
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Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.04.021
Abstract: Abstract In this work, the main objective is to study a real-time H ∞ cubature Kalman filter (CKF). Robust CKF combines robust principle and CKF, many advantages in state estimation for a small unmanned helicopter…
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Keywords:
unmanned helicopter;
cubature kalman;
real time;
helicopter ... See more keywords
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Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.05.001
Abstract: For a nonlinear system, the cubature Kalman filter (CKF) and its square-root version are useful methods to solve the state estimation problems, and both can obtain good performance in Gaussian noises. However, their performances often…
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Keywords:
square root;
cubature kalman;
filter;
kalman filter ... See more keywords
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Published in 2021 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1829165
Abstract: For states estimation problem of continuous–discrete systems, the numerical approximation methods with high order of accuracy are commonly used to build the continuous–discrete filtering algorithms. However, there is a common contradiction between the computational efficiency…
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Keywords:
cubature kalman;
kalman filtering;
kalman;
extended cubature ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2986022
Abstract: Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian noise. However, the estimation performance may degrade greatly in presence of heavy-tailed measurement noise. Recently, maximum correntropy square-root cubature Kalman filter (MCSCKF)…
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Keywords:
cubature kalman;
noise;
kalman filter;
square root ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3036423
Abstract: to the vehicle’s severe maneuver and abnormal measurements of GPS in practical applications, the statistic of process noise in SINS/GPS integrated navigation system may be unknown and the measurement noise may not follow the Gaussian…
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Keywords:
filter;
cubature kalman;
kalman filter;
noise ... See more keywords
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2
Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222188
Abstract: This article presents an environmentally adaptive event-driven robust square root cubature Kalman filter (EAERCKF) for received-signal-strength-based (RSS-based) moving targets tracking in resource-constrained mobile wireless sensor network (MWSN) under the motion modeling and RSS quantization uncertainties.…
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Keywords:
environmentally adaptive;
adaptive event;
kalman filter;
cubature kalman ... See more keywords
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Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3006026
Abstract: In this paper, an improved maximum correntropy cubature kalman filter(IMCCKF) is proposed to address the measurement outliers in cooperative localization(CL) of autonomous underwater vehicles (AUVs). The estimated performance of the maximum correntropy cubature kalman filter(MCCKF)…
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Keywords:
maximum correntropy;
cubature kalman;
kalman filter;
correntropy cubature ... See more keywords