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Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter
The classical unscented Kalman filter (UKF) requires prior knowledge on statistical
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
State of charge estimation for lithium-ion batteries: An adaptive approach
State of charge (SoC) estimation is of key importance in the design of battery management
systems. An adaptive SoC estimator, which is named AdaptSoC, is developed in this paper …
systems. An adaptive SoC estimator, which is named AdaptSoC, is developed in this paper …
Efficient estimation for sensor biases and target states in the presence of sensor position errors
The measurement biases of sensors during the target tracking process, if not accounted for,
can significantly deteriorate the localization accuracy. This article focuses on the problem of …
can significantly deteriorate the localization accuracy. This article focuses on the problem of …
Expectation-maximization particle-filter-and Kalman-filter-based permanent magnet temperature estimation for PMSM condition monitoring using high-frequency …
In permanent magnet synchronous machine, high-frequency (HF) signal injection has been
extensively investigated for permanent magnet temperature (PMT) estimation, in which PMT …
extensively investigated for permanent magnet temperature (PMT) estimation, in which PMT …
Least squares estimation and Cramér–Rao type lower bounds for relative sensor registration process
An important prerequisite for successful multisensor integration is that the data from the
reporting sensors are transformed to a common reference frame free of systematic or …
reporting sensors are transformed to a common reference frame free of systematic or …
Tracking of elliptical object with unknown but fixed lengths of axes
This article addresses the problem of tracking an elliptical object (eg, a vehicle or aircraft
carrier) with unknown but fixed lengths of axes. In practice, such axis lengths are usually …
carrier) with unknown but fixed lengths of axes. In practice, such axis lengths are usually …
An EM algorithm for multipath state estimation in OTHR target tracking
Multi-path tracks of a single target exist in skywave over-the-horizon radar (OTHR)
surveillance, due to the availability of multiple signal propagation paths through the …
surveillance, due to the availability of multiple signal propagation paths through the …
A joint data association, registration, and fusion approach for distributed tracking
In this paper, a joint data association, registration, and fusion method is proposed for
distributed tracking. As sensor biases are implicitly hidden behind the local tracks, a pseudo …
distributed tracking. As sensor biases are implicitly hidden behind the local tracks, a pseudo …
Improved particle filter for non-gaussian forecasting-aided state estimation
Gaussian assumptions of non-Gaussian noises hinder the improvement of state estimation
accuracy. In this paper, an asymmetric generalized Gaussian distribution (AGGD), as a …
accuracy. In this paper, an asymmetric generalized Gaussian distribution (AGGD), as a …
A pseudo-measurement approach to simultaneous registration and track fusion
In multi-sensor tracking, registration is expected to be performed at the track level instead of
the measurement level especially for the distributed sensor networks. However, registration …
the measurement level especially for the distributed sensor networks. However, registration …