A review of recent advances in fractional-order sensing and filtering techniques
The present manuscript aims at raising awareness of the endless possibilities of fractional
calculus applied not only to system identification and control engineering, but also into …
calculus applied not only to system identification and control engineering, but also into …
Nonlinear Bayesian estimation: From Kalman filtering to a broader horizon
This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State
estimation for nonlinear systems has been a challenge encountered in a wide range of …
estimation for nonlinear systems has been a challenge encountered in a wide range of …
On extended state estimation for nonlinear uncertain systems with round-robin protocol
Y Xu, W Lv, W Lin, R Lu, DE Quevedo - Automatica, 2022 - Elsevier
This work studies the state estimation problem for nonlinear uncertain systems over a
shared communication channel. We transform the original system into an extended state …
shared communication channel. We transform the original system into an extended state …
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control
The performance of modern control methods, such as model predictive control, depends
significantly on the accuracy of the system model. In practice, however, stochastic …
significantly on the accuracy of the system model. In practice, however, stochastic …
Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey
M Nazarahari, H Rouhani - Information Fusion, 2021 - Elsevier
Lightweight and low-cost wearable magnetic and inertial measurement units (MIMUs) have
found numerous applications, such as aerial vehicle navigation or human motion analysis …
found numerous applications, such as aerial vehicle navigation or human motion analysis …
Climatenerf: Extreme weather synthesis in neural radiance field
Physical simulations produce excellent predictions of weather effects. Neural radiance fields
produce SOTA scene models. We describe a novel NeRF-editing procedure that can fuse …
produce SOTA scene models. We describe a novel NeRF-editing procedure that can fuse …
Model predictive based unscented Kalman filter for hypersonic vehicle navigation with INS/GNSS integration
The INS/GNSS integration is the commonly used technique for hypersonic vehicle
navigation. However, owing to the complicated flight dynamics with high maneuverability …
navigation. However, owing to the complicated flight dynamics with high maneuverability …
Improved cubature Kalman filter for GNSS/INS based on transformation of posterior sigma-points error
B Cui, X Chen, X Tang - IEEE Transactions on Signal …, 2017 - ieeexplore.ieee.org
Tightly coupled GNSS/INS has been widely approved as a promising substitute for
standalone GNSS in urban areas navigation. However, due to the frequent GNSS signal …
standalone GNSS in urban areas navigation. However, due to the frequent GNSS signal …
Accurate continuous–discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking
GY Kulikov, MV Kulikova - Signal Processing, 2017 - Elsevier
This paper presents a new state estimation technology grounded in the unscented Kalman
filtering for nonlinear continuous-time stochastic systems. The resulting accurate continuous …
filtering for nonlinear continuous-time stochastic systems. The resulting accurate continuous …
An alternative framework for fluorescence correlation spectroscopy
Fluorescence correlation spectroscopy (FCS) is a flexible and widely used tool routinely
exploited in vivo. While FCS provides estimates of dynamical quantities, such as diffusion …
exploited in vivo. While FCS provides estimates of dynamical quantities, such as diffusion …