On the vehicle sideslip angle estimation: a literature review of methods, models, and innovations
Typical active safety systems that control the dynamics of passenger cars rely on the real-
time monitoring of the vehicle sideslip angle (VSA), together with other signals such as the …
time monitoring of the vehicle sideslip angle (VSA), together with other signals such as the …
Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …
devoted to time series state space models for a large variety of dynamic estimation …
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
Lithium-ion batteries have been widely used as the energy storage systems in personal
portable electronics (eg cell phones, laptop computers), telecommunication systems, electric …
portable electronics (eg cell phones, laptop computers), telecommunication systems, electric …
Dual-optimization for a MEMS-INS/GPS system during GPS outages based on the cubature Kalman filter and neural networks
C Shen, Y Zhang, J Tang, H Cao, J Liu - Mechanical Systems and Signal …, 2019 - Elsevier
To improve the performance of a microelectromechanical-system (MEMS)-based inertial
navigation system (INS)/Global Positioning System (GPS) integrated navigation system, a …
navigation system (INS)/Global Positioning System (GPS) integrated navigation system, a …
Unscented Kalman filter for power system dynamic state estimation
G Valverde, V Terzija - IET generation, transmission & distribution, 2011 - IET
A new estimation method for power system dynamic state estimation, the unscented Kalman
filter (UKF), is presented. It is based on the application of the unscented transformation (UT) …
filter (UKF), is presented. It is based on the application of the unscented transformation (UT) …
[PDF][PDF] Comparative evaluation of genetically encoded voltage indicators
Imaging voltage using fluorescent-based sensors could be an ideal technique to probe
neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to …
neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to …
A comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles
One of the most important aspects in battery management systems (BMS) in electric vehicles
is the state of charge (SOC) estimation. SOC needs to be accurately determined for safety …
is the state of charge (SOC) estimation. SOC needs to be accurately determined for safety …
Process fault diagnosis with model-and knowledge-based approaches: Advances and opportunities
Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, developing a reliable and …
plants. Despite the encouraging progress in its research, developing a reliable and …
Protocol-based unscented Kalman filtering in the presence of stochastic uncertainties
In this paper, the unscented Kalman filtering (UKF) problem is investigated for a class of
general nonlinear systems with stochastic uncertainties under communication protocols. A …
general nonlinear systems with stochastic uncertainties under communication protocols. A …
Online state estimation of a synchronous generator using unscented Kalman filter from phasor measurements units
E Ghahremani, I Kamwa - IEEE Transactions on Energy …, 2011 - ieeexplore.ieee.org
The most important reference quantities for monitoring and controlling transient stability in
real time are the rotor angle and speed of the synchronous generators. If these quantities …
real time are the rotor angle and speed of the synchronous generators. If these quantities …