Multi-sensor filtering fusion meets censored measurements under a constrained network environment: Advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models
Utility-scale hydrogen production via alkaline electrolysis (AEL) is a promising pathway
toward the decarbonization of the power, transportation, and chemical industries. The …
toward the decarbonization of the power, transportation, and chemical industries. The …
The Tobit Kalman filter: An estimator for censored measurements
Tobit model censored data arise in multiple engineering applications through saturating
sensors, limit-of-detection effects, and image frame effects. In this brief, we introduce a novel …
sensors, limit-of-detection effects, and image frame effects. In this brief, we introduce a novel …
Multi-sensor filtering fusion with parametric uncertainties and measurement censoring: Monotonicity and boundedness
This paper is concerned with the Tobit Kalman fusion estimation problem for a class of multi-
sensor systems subject to parametric uncertainties and measurement censoring. The …
sensor systems subject to parametric uncertainties and measurement censoring. The …
Distributed federated Tobit Kalman filter fusion over a packet-delaying network: A probabilistic perspective
This paper investigates the distributed federated Tobit Kalman filter fusion problem for a
class of discrete-time systems subject to measurement censoring and packet delays. The …
class of discrete-time systems subject to measurement censoring and packet delays. The …
Simultaneous input and state estimation for integrated motor-transmission systems in a controller area network environment via an adaptive unscented Kalman filter
As the requirements on powertrain efficiency of electric vehicles (EVs) are increasing,
integrated motor-transmission (IMT) powertrain systems for EVs are becoming a promising …
integrated motor-transmission (IMT) powertrain systems for EVs are becoming a promising …
Tobit Kalman filter with time-correlated multiplicative sensor noises under redundant channel transmission
Censored measurements arise frequently in engineering practice involving a large number
of low-cost off-the-shelf sensors. On the other hand, sensor measurements often suffer from …
of low-cost off-the-shelf sensors. On the other hand, sensor measurements often suffer from …
State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach
Abstract The Tobit Kalman filter (TKF) is a powerful tool in solving the state estimation
problem for linear systems with censored measurements. This paper is concerned with the …
problem for linear systems with censored measurements. This paper is concerned with the …
Tobit Kalman filtering for fractional‐order systems with stochastic nonlinearities under round‐robin protocol
In this article, the Tobit Kalman filtering problem is investigated for a class of discrete time‐
varying fractional‐order systems in the presence of measurement censoring and stochastic …
varying fractional‐order systems in the presence of measurement censoring and stochastic …
Tobit Kalman filter with fading measurements
This paper is concerned with the Tobit Kalman filtering problem for a class of discrete time-
varying systems with both censored and fading measurements. The censored …
varying systems with both censored and fading measurements. The censored …