Contact force and torque sensing for serial manipulator based on an adaptive Kalman filter with variable time period

F Cao, PD Docherty, S Ni, XQ Chen - Robotics and Computer-Integrated …, 2021 - Elsevier
Contact force and torque sensing approaches enable manipulators to cooperate with
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

X Dong, L Chisci, Y Cai - Signal Processing, 2021 - Elsevier
An improved adaptive variational Bayesian cubature information fusion algorithm for
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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …