An improved iterative FIR state estimator and its applications
In this paper, an iterative finite impulse response (FIR) filter is proposed for discrete time-
varying state-space models, with the purpose of a new initialization strategy for the iterative …
varying state-space models, with the purpose of a new initialization strategy for the iterative …
Probabilistic monitoring of correlated sensors for nonlinear processes in state space
To optimize control and/or state estimation of industrial processes, information about
measurement quality provided by sensors is required. In this paper, a probabilistic scheme …
measurement quality provided by sensors is required. In this paper, a probabilistic scheme …
Indoor INS/LiDAR-based robot localization with improved robustness using cascaded FIR filter
Y Xu, YS Shmaliy, Y Li, X Chen, H Guo - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, an indoor inertial navigation system (INS) integrated with light detection and
ranging (LiDAR) robot localization system is proposed to provide accurate information about …
ranging (LiDAR) robot localization system is proposed to provide accurate information about …
Unbiased FIR filtering for time-stamped discretely delayed and missing data
The unbiased finite impulse response (UFIR) filtering approach is developed for discrete-
time state-space models with time-stamped discretely delayed and missing data. The model …
time state-space models with time-stamped discretely delayed and missing data. The model …
Sampled-data state estimation of reaction diffusion genetic regulatory networks via space-dividing approaches
X Song, M Wang, S Song… - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
A novel state estimator is designed for genetic regulatory networks with reaction-diffusion
terms in this study. First, the diffusion space (where mRNA and protein exist) is divided into …
terms in this study. First, the diffusion space (where mRNA and protein exist) is divided into …
Bayesian state estimation for Markovian jump systems: Employing recursive steps and pseudocodes
In this article, we review several existing Bayesian state-estimation algorithms for Markovian
jump systems (MJSs) and illustrate their distinctive properties. Specifically, we analyze the …
jump systems (MJSs) and illustrate their distinctive properties. Specifically, we analyze the …
Denoising and features extraction of ecg signals in state space using unbiased fir smoothing
C Lastre-Dominguez, YS Shmaliy… - IEEE …, 2019 - ieeexplore.ieee.org
The electrocardiogram (ECG) signals bear fundamental information for making decisions
about different kinds of heart diseases. Therefore, many efforts were made during decades …
about different kinds of heart diseases. Therefore, many efforts were made during decades …
Distributed UFIR filtering over WSNs with consensus on estimates
M Vazquez-Olguin, YS Shmaliy… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The distributed wireless sensor network (WSN) technologies have experienced rapid
developments in recent years owing to mobility, scalability, and flexibility of solutions with …
developments in recent years owing to mobility, scalability, and flexibility of solutions with …
Optimal and unbiased filtering with colored process noise using state differencing
This letter develops the Kalman and unbiased finite impulse response filtering algorithms for
linear discrete-time state-space models with Gauss-Markov colored process noise (CPN) …
linear discrete-time state-space models with Gauss-Markov colored process noise (CPN) …
Predictive adaptive Kalman filter and its application to INS/UWB-integrated human localization with missing UWB-based measurements
Y Xu, T Shen, XY Chen, LL Bu, N Feng - International Journal of …, 2019 - Springer
In order to improve the accuracy of the data fusion filter, a tightly-coupled ultra wide band
(UWB)/inertial navigation system (INS)-integrated scheme for indoor human navigation will …
(UWB)/inertial navigation system (INS)-integrated scheme for indoor human navigation will …