Accurate estimation of the dynamic states of a synchronous machine (eg, rotor's angle and
speed) is essential in monitoring and controlling transient stability of a power system. It is …

Sensorless control of AC motor drives, which takes the advantages of cost saving, higher
reliability, and less hardware, has been developed for several decades. Among the existing …

The Attitude Heading Reference System (AHRS) has been widely used to provide the
position and orientation of a rigid body. A low cost MEMS based inertial sensor …

The state of charge (SOC) is one of the most important monitoring states for the battery
management system. It is still a challenge to estimate the battery SOC accurately and stably …

Owing to the increase in civil applications using quadcopters, commercial flight control
systems such as Pixhawk are a popular solution to provide the sensing and control functions …

This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where,
in addition to nonlinear model parameters, the covariance matrix of measurement noise is …

The state of charge (SOC) is among the most crucial monitoring states in battery
management systems. To accurately and robustly estimate the battery SOC, a closed-loop …

In this paper, we present an efficient and robust GPS-aided visual inertial odometry (GPS-
VIO) system that fuses IMU-camera data with intermittent GPS measurements. To perform …

The use of the direct filtering approach for INS/GNSS integrated navigation introduces
nonlinearity into the system state equation. As the unscented Kalman filter (UKF) is a …

Abstract Lithium-ion (Li-ion) battery state of charge (SOC) estimation is important for electric
vehicles (EVs). The model-based state estimation method using the Kalman filter (KF) …