This article proposes an actuator fault estimation approach for a class of nonlinear descriptor
systems. The radial basis function (RBF) neural networks are utilised to model the actuator …

In this paper, we present the fault estimation of a motor in rack-type electrical power steering
(R-EPS) system using an artificial neural network (ANN) observer and the comparison study …

This work proposes a feedback control strategy to let the dynamics of an under-actuated
Vertical Take-Off and Landing (VTOL) aerial vehicle to track a desired trajectory thanks to an …

This paper proposes a novel satellite attitude Active Fault Tolerant Control System. The
Active Fault Tolerant Control System is based on a Fault Detection and Diagnosis module …

Fault diagnosis is important in safety critical systems like Satellite launch vehicles (SLVs),
Actuator stuck failures are a major concern in all space vehicles. The Interactive Multiple …

Aiming at solving the problem of the loss of actuator effectiveness, a fault-tolerant
backstepping control method for fixed-wing unmanned aerial vehicle (UAV) is proposed in …

This paper presents an Active Fault Tolerant Flight Control applied to an aircraft nonlinear
longitudinal model in presence of simultaneous faults on both elevator and thrust actuators …

Research of unmanned helicopter has become more challenging since the complexity of
system structures is increasing. As one of the most important parts of an unmanned …

Modern control systems are becoming more and more complex and control algorithms more
and more sophisticated. Consequently, Fault Detection and Diagnosis (FDD) and Fault …

A novel design strategy of an unknown input observer (UIO) based on the radial basis
function (RBF) neural network is proposed in this paper for the problem of intermittent fault …