The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …

This paper investigates interval estimation methods for discrete-time linear time-invariant
systems. We propose a novel interval estimation method by integrating robust observer …

This paper studies interval observer design for linear parameter-varying systems subject to
uncertainties in parameters, input and output. Based on a general assumption that these …

This paper proposes a state augmentation approach to achieve interval fault estimation for
descriptor systems with unknown but bounded disturbances and measurement noises. An …

This article deals with the problem of fault detection for discrete-time Lipschitz nonlinear
systems subject to a class of restricted frequency-domain specifications. We present a novel …

The problem addressed in this paper is that of fault-tolerant multi-sensor data-fusion for flight
navigation during approach and landing of a civil jetliner. The work falls within the scope of a …

This paper further investigates the design problem of the functional interval observer for
discrete-time systems with disturbances. Two methods are given to design functional interval …

Enhancing the sensitivity to faults with respect to disturbances, rather than optimizing the
precision of the state estimation using Kalman Filters (KF) is the subject of this paper. The …

This paper suggests the use of zonotopes for the design of watermark signals. The proposed
approach exploits the recent analogy found between stochastic and zonotopic-based …

There has been a vast body of research on set-membership techniques in recent years.
These algorithms compute convex sets that contain the state of a dynamical system given …