Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

Real-time control systems rely on reliable estimates of states and parameters in order to
provide accurate and safe control of electro-mechanical systems. The task of extracting state …

To solve the problem of unknown noise covariance matrices inherent in the cooperative
localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is …

Reaction wheels, as one of the most commonly used actuators in satellite attitude control
systems, are prone to malfunction which could lead to catastrophic failures. Such …

Recently, multi-sensor navigation has emerged as a viable approach in autonomous
vehicles' development. Kalman filtering has been widely applied in multi-sensor data fusion …

Control moment gyros, as one of the most commonly used actuators onboard satellites, are
prone to faults and failures. The ability to detect faults, isolate their location, and identify their …

This article covers the latest fault-tolerant control system (FTCS) developments and
applications. FTCSs aim to maintain stability, minimize performance degradation, and …

The paper presents a novel data-driven method for fault detection and isolation of control
moment gyroscopes onboard satellites. The proposed method uses the Chebyshev Neural …

A new hierarchical method for fault detection, isolation, and identification of nonlinear
systems with applications for in-orbit closed-loop controlled satellites is proposed where …

Unscented Kalman filters (UKFs) have become popular in the research community. Most
UKFs work only with Euclidean systems, but in many scenarios it is advantageous to …