In this paper, an adaptive fault diagnosis technique is used in Li-ion batteries. The diagnosis
process consists of multiple nonlinear models representing signature faults, such as …

NEW generations of unmanned aerial vehicles (UAVs) will be designed to achieve their
mission not only with increased efficiency, but also with more safety and security. Future …

As critically-safe systems, aircraft must be able to adapt if a failure occurs. A fast failure
detection may reduce the possibility of loss of control in-flight. Model-based Failure …

In this paper, a model-based fault diagnosis scheme of a nonlinear hybrid system using an
adaptive unscented Kalman filter (AUKF) bank is proposed. The hybrid system is an …

The ability of the multiple model adaptive estimation method (MMAE) to detect faults based
on a predefined hypothesis and the parameter-estimating ability of an extended Kalman …

In this paper, a new fault-tolerant control approach is presented for a class of nonlinear
systems, which preserves system stability despite a time delay in fault detection. The faults …

This paper presents a model-based fault detection and isolation scheme applied on electric
pitch system of wind turbines. Pitch system is one of the most critical components due to its …

In this thesis, novel approaches for fault-tolerant flight control systems are investigated. This
work focuses on develo** algorithms for a small unmanned aerial vehicle. Therefore, the …

Abstract A robust Multiple Model Adaptive Estimation (MMAE) framework of parallel
extended Student's t filters (ESTFs) with different degrees of freedom (dof) is proposed …

The air and fuel management of modern diesel engines is based on a feedforward control
approach. As a consequence, faults of the air or the fuel path have a direct impact on the …