Contact force and torque sensing for serial manipulator based on an adaptive Kalman filter with variable time period
Contact force and torque sensing approaches enable manipulators to cooperate with
humans and to interact appropriately with unexpected collisions. In this paper, a mode …
humans and to interact appropriately with unexpected collisions. In this paper, a mode …
An adaptive variational Bayesian filter for nonlinear multi-sensor systems with unknown noise statistics
An improved adaptive variational Bayesian cubature information fusion algorithm for
nonlinear multi-sensor systems with uncertain noise statistics is proposed in this paper …
nonlinear multi-sensor systems with uncertain noise statistics is proposed in this paper …
A Gaussian-multivariate Laplacian mixture distribution based robust cubature Kalman filter
W Huang, H Fu, Y Li, W Zhang - Measurement, 2023 - Elsevier
In this paper, the state estimation problems of nonlinear systems with outlier-corrupted
measurements are investigated. First, to model the non-Gaussian noises caused by the …
measurements are investigated. First, to model the non-Gaussian noises caused by the …
Adaptive transfer alignment method based on the observability analysis for airborne pod strapdown inertial navigation system
W Chen, Z Yang, S Gu, Y Wang, Y Tang - Scientific Reports, 2022 - nature.com
For the airborne pod strapdown inertial navigation system, it is necessary to use the host
aircraft's inertial navigation system for the transfer alignment as quickly and accurately as …
aircraft's inertial navigation system for the transfer alignment as quickly and accurately as …
Robust cubature Kalman filter with Gaussian-multivariate Laplacian mixture distribution and partial variational Bayesian method
H Fu, W Huang, Z Li, Y Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article explores the problem of nonlinear state estimation in the presence of outlier-
contaminated measurements. First, to deal with the non-stationary non-Gaussian noises …
contaminated measurements. First, to deal with the non-stationary non-Gaussian noises …
A computationally efficient robust cubature Kalman filter with multivariate Laplace distribution
H Fu, Y Cheng - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
This article investigates the nonlinear state estimation under heavy-tailed process and
measurement noises (PAMNs), and the noises may be induced by sensor failures …
measurement noises (PAMNs), and the noises may be induced by sensor failures …
Switching Gaussian-heavy-tailed distribution based robust Gaussian approximate filter for INS/GNSS integration
H Fu, Y Cheng - Journal of the Franklin Institute, 2022 - Elsevier
In inertial navigation system and global navigation satellite system (INS/GNSS) integration,
the practical stochastic measurement noise may be non-stationary heavy-tailed distribution …
the practical stochastic measurement noise may be non-stationary heavy-tailed distribution …
Estimation of tire-road friction coefficient with adaptive tire stiffness based on RC-SCKF
J Ye, Z Zhang, J Jin, R Su, B Huang - Nonlinear Dynamics, 2024 - Springer
Tire-road friction coefficient is of great significance for vehicle active safety systems,
advanced driving assistance systems, and even future autonomous vehicles. Most of the …
advanced driving assistance systems, and even future autonomous vehicles. Most of the …
Sparse Kalman Filter-Based Channel Estimation for RIS-Aided Millimeter Wave Multiple-Input Multiple-Output Systems
J Zhang, Y Su, D Qian - IEEE Access, 2023 - ieeexplore.ieee.org
The acquisition of accurate channel state information is critical for enhancing the
transmission quality and energy efficiency of reconfigurable intelligent surface-aided …
transmission quality and energy efficiency of reconfigurable intelligent surface-aided …
Robust underwater direction-of-arrival tracking based on AI-aided variational Bayesian extended Kalman filter
X Hou, Y Qiao, B Zhang, Y Yang - Remote Sensing, 2023 - mdpi.com
The AI-aided variational Bayesian extended Kalman filter (AI-VBEKF)-based robust direction-
of-arrival (DOA) technique is proposed to make reliable estimations of the bearing angle of …
of-arrival (DOA) technique is proposed to make reliable estimations of the bearing angle of …