Small satellites use commercial off-the-shelf sensors and actuators for attitude determination
and control (ADC) to reduce the cost. These sensors and actuators are usually not as robust …

In this manuscript, an underwater target tracking problem with passive sensors is
considered. The measurements used to track the target trajectories are (i) only bearing …

Although successful applications of data assimilation techniques such as Kalman filter to
structural parameter identification problems exist in literature, they have been explored …

This paper proposes new algorithms of adaptive Gaussian filters for nonlinear state
estimation with maximum one‐step randomly delayed measurements. The unknown random …

The robust parameter estimation of unknown space objects is essential to the on-orbit
servicing missions. Based on the adaptive filtering techniques along with the dual …

The Kalman filter (KF), extended KF, and unscented KF all lack a self‐adaptive capacity to
deal with system noise. This paper describes a new adaptive filtering approach for nonlinear …

A non‐linear adaptive state estimator based on the Gauss–Hermite (GH) quadrature rule
has been proposed to suit non‐linear signal models where the measurement noise …

With the widespread implementation of parallel manipulators particularly for accurate high-
load tasks, reliable parameter calibration has become significantly important. In this article …

A rate filtering algorithm for estimating the satellite angular rate in damping mode is
designed, by incorporating extended Kalman filter technique and three-axis magnetometers …

Instantaneous velocity is an important variable for navigation and measurement tasks, and
its estimation using a stand-alone global navigation satellite system (GNSS) receiver has …