Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

Multi-autonomous underwater vehicles (AUVs) cooperative localization has become a
research hotspot in the marine navigation field. In this paper, a filtering algorithm for slave …

This paper addresses the problem of Faut Detection and Diagnosis (FDD) of a quadrotor
helicopter system in the presence of actuator faults. To this end a Two-Stage Kalman Filter …

This paper presents a robust actuator fault detection and diagnosis (FDD) scheme for a
quadrotor UAV (QUAV) in the presence of external disturbances. First, the dynamic model of …

The well-known conventional Kalman filter requires an accurate system model and exact
stochastic information. But in a number of situations, the system model has an unknown …

In this paper, an adaptive Kalman filtering algorithm is developed for use to estimate the
reduction of control effectiveness in a closed‐loop setting. Control effectiveness factors are …

Communication plays a vital role in incorporating smartness into the interconnected power
system. However, historical records prove that the data transfer has always been vulnerable …

The integration of the inertial navigation system and the global positioning system (INS/GPS)
is a widely used procedure for position and attitude determination applications. The Kalman …

This article is concerned with the resilient fault diagnosis (FD) problem for a class of complex
networks subject to possible loss of the actuator effectiveness and random variation of the …

This paper presents a fault‐tolerant adaptive control allocation scheme for overactuated
systems subject to loss of effectiveness actuator faults. The main idea is to use an 'ad …