Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

This survey of model-based fault diagnosis focuses on those methods that are applicable to
aerospace systems. To highlight the characteristics of aerospace models, generic non-linear …

A permanent increase in the complexity, efficiency and reliability of modern industrial
systems necessitates a continuous development in control and fault diagnosis. A moderate …

This paper proposes a set-membership state estimator and a zonotopic Kalman observer for
discrete-time descriptor systems. Both approaches are developed in a set-based context …

This technical note proposes a novel set-membership state estimation approach based on
zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency …

Guaranteed state estimation computes the set of possible states of dynamical systems given
the bounds of model uncertainties, disturbances, and noises. For the first time, we evaluate …

In this article, a novel set-membership state estimation method based on zonotopes is
proposed for switched systems subject to unknown-but-bounded disturbance with average …

This paper proposes a model-based fault diagnosis (FD) approach for wind turbines and its
application to a realistic wind turbine FD benchmark. The proposed FD approach combines …

In order to improve the availability of wind turbines and to avoid catastrophic consequences,
the detection of faults in their earlier occurrence is fundamental. This paper proposes the …

This title focuses on two significant problems in the field of automatic control, in particular
state estimation and robust Model Predictive Control under input and state constraints …