Agile satellites with advanced attitude maneuvering capability are the new generation of
earth observation satellites (EOSs). The continuous improvement in satellite technology and …

The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF)
are widely used in underwater multi-sensor fusion applications for localization and …

Traditional cubature Kalman filter (CKF) is a preferable tool for the inertial navigation system
(INS)/global positioning system (GPS) integration under Gaussian noises. The CKF …

One of the critical challenges in spacecraft attitude estimation is the handling nonlinear non-
Gaussian noisy conditions originating from measurement errors, model drifts, and incorrect …

The lifespan of a satellite is primarily dependent on its battery performance. Thus, proper
management and monitoring of the battery is important. Most miniaturized satellites of …

In this paper, the recursive filtering is investigated for a type of time-delayed stochastic
nonlinear systems with event-based communication protocols and missing measurements …

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 …

There is a great demand for vision-based robotics solutions that can operate using Global
Positioning Systems (GPS), but are also robust against GPS signal loss and gyroscope …

In the context of nonlinear systems, variational Bayesian filters play an important and
alternative role to sampling‐based Monte Carlo methods. Although they have been used in …

This article proposes a real-time neural network (NN) stochastic filter-based controller on the
Lie group of the special orthogonal group SO (3) as a novel approach to the attitude tracking …