A review for control theory and condition monitoring on construction robots

H Shi, R Li, X Bai, Y Zhang, L Min… - Journal of Field …, 2023 - Wiley Online Library
The application of robotic technologies in building construction leads to great convenience
and productivity improvement, and construction robots (CRs) bring enormous opportunities …

Random error reduction algorithms for MEMS inertial sensor accuracy improvement—a review

S Han, Z Meng, O Omisore, T Akinyemi, Y Yan - Micromachines, 2020 - mdpi.com
Research and industrial studies have indicated that small size, low cost, high precision, and
ease of integration are vital features that characterize microelectromechanical systems …

Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking

Y Huang, Y Zhang, P Shi, Z Wu, J Qian… - … on Systems, Man …, 2017 - ieeexplore.ieee.org
In this paper, a new robust Kalman filtering framework for a linear system with non-Gaussian
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …

A fault-tolerant sensor fusion in mobile robots using multiple model Kalman filters

M Kheirandish, EA Yazdi, H Mohammadi… - Robotics and …, 2023 - Elsevier
Accurate localization is crucial in the navigation of mobile robots. However, in other
circumstances, single-sensor localization faces different challenges, including software and …

Adaptive transition probability matrix-based parallel IMM algorithm

G Xie, L Sun, T Wen, X Hei… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Conventionally, the transition probabilities in the interacting multiple model (IMM) are often
fixed based on the prior information. However, this conservative setting may result in …

Hybrid deep recurrent neural networks for noise reduction of MEMS-IMU with static and dynamic conditions

S Han, Z Meng, X Zhang, Y Yan - Micromachines, 2021 - mdpi.com
Micro-electro-mechanical system inertial measurement unit (MEMS-IMU), a core component
in many navigation systems, directly determines the accuracy of inertial navigation system; …

A novel robust Kalman filtering framework based on normal-skew mixture distribution

M Bai, Y Huang, B Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel normal-skew mixture (NSM) distribution is presented to model the
normal and/or heavy-tailed and/or skew nonstationary distributed noises. The NSM …

Distributed fusion estimator for multisensor multirate systems with correlated noises

H Lin, S Sun - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
A distributed fusion estimation algorithm is studied for multisensor multirate systems with
correlated noises, where the state update rate is positive integer multiples of the …

An informational approach for fault tolerant data fusion applied to a UAV's attitude, altitude, and position estimation

M Saied, AR Tabikh, C Francis, H Hamadi… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper presents a fault tolerance architecture for data fusion mechanisms that tolerates
sensor faults in a multirotor Unmanned Aerial Vehicle (UAV). The developed approach is …

State estimation and fault reconstruction with integral measurements under partially decoupled disturbances

Y Liu, Z Wang, D Zhou - IET Control Theory & Applications, 2018 - Wiley Online Library
This study is concerned with the state estimation and fault reconstruction problems for a
class of discrete systems with integral measurements under partially decoupled …