A fusion Kalman filter and UFIR estimator using the influence function method
In this paper, the Kalman filter (KF) and the unbiased finite impulse response (UFIR) filter are
fused in the discrete-time state-space to improve robustness against uncertainties. To avoid …
fused in the discrete-time state-space to improve robustness against uncertainties. To avoid …
Probabilistic monitoring of sensors in state-space with variational Bayesian inference
Measurements quality is important for process systems engineering. In this paper, an
estimation scheme is proposed in the state-space form to monitor the degree of accuracy of …
estimation scheme is proposed in the state-space form to monitor the degree of accuracy of …
An improved Kalman filter using ANN-based learning module to predict transaction throughput of blockchain network in clinical trials
Clinical trials have been made transparent and accessible because of the widespread
adoption of blockchain technology. Its distinctive characteristics, such as data immutability …
adoption of blockchain technology. Its distinctive characteristics, such as data immutability …
Adaptive maximum correntropy Gaussian filter based on variational Bayes
In this paper, we investigate the state estimation of systems with unknown covariance non-
Gaussian measurement noise. A novel improved Gaussian filter (GF) is proposed, where the …
Gaussian measurement noise. A novel improved Gaussian filter (GF) is proposed, where the …
Estimating the probability density function of remaining useful life for wiener degradation process with uncertain parameters
G Xie, X Li, X Peng, F Qian, X Hei - International Journal of Control …, 2019 - Springer
The effective prediction of remaining useful life is essential to realize system failure
diagnosis and health management. The existing researches often assume that the …
diagnosis and health management. The existing researches often assume that the …
Hitchhiking robots: A collaborative approach for efficient multi-robot navigation in indoor environments
A Ravankar, AA Ravankar, Y Kobayashi, T Emaru - Sensors, 2017 - mdpi.com
Hitchhiking is a means of transportation gained by asking other people for a (free) ride. We
developed a multi-robot system which is the first of its kind to incorporate hitchhiking in …
developed a multi-robot system which is the first of its kind to incorporate hitchhiking in …
Disorder-resistant fusion estimator design for nonlinear stochastic systems in the presence of measurement quantization
In this paper, we thoroughly study a new nonlinear disorder-resistant fusion estimation
problem under both packet disorder and measurement quantization. Packet disorder, which …
problem under both packet disorder and measurement quantization. Packet disorder, which …
Robust FIR state estimation of dynamic processes corrupted by outliers
The outlier is a common issue in the design of state estimators for an industrial process. In
this paper, a robust finite impulse response (FIR) filter is proposed for time-invariant state …
this paper, a robust finite impulse response (FIR) filter is proposed for time-invariant state …
On the - and Performances of the Continuous-Time Deadbeat FIR Filter
The continuous-time deadbeat H 2 finite impulse response filter (CTDH 2 FF) was originally
designed by Ahn to diminish the effect of external disturbances. In this brief, we provide an in …
designed by Ahn to diminish the effect of external disturbances. In this brief, we provide an in …
Bias-constrained optimal fusion filtering for decentralized WSN with correlated noise sources
We propose and investigate a robust fusion optimal unbiased finite impulse response
(FOUFIR) algorithm, which is composed of robust UFIR filters implemented in smart sensors …
(FOUFIR) algorithm, which is composed of robust UFIR filters implemented in smart sensors …