This paper proposes a novel interval observer design method for discrete-time linear
systems with unknown but bounded disturbance and measurement noise. The proposed …

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 paper investigates actuator fault detection and isolation for discrete-time linear
descriptor systems. We propose a novel fault detection and isolation scheme based on a …

This paper presents a novel interval fault estimation approach by using zonotope technique
for discrete-time linear parameter-varying systems in the presence of bounded parametric …

In this article, the reachability analysis is investigated for the linear discrete-time systems in
the presence of malicious cyber attacks. Moreover, the system disturbance and …

This paper studies zonotopic fault detection observer design for a class of linear parameter‐
varying descriptor systems. The disturbance and measurement noise are unknown but can …

In this paper, we propose a robust fault detection and isolation (FDI) strategy based on
zonotopic unknown input observers (UIOs) for discrete-time descriptor linear time-varying …

This paper designs observer gains to optimize the minimal robust positively invariant set and
uses this set for robust fault detection. First, the sizes of the minimal robust positively …

This paper presents the mathematical conditions and the associated design methodology of
an active fault diagnosis technique for continuous-time linear systems. Given a set of faults …

Multiscale PCA (MSPCA) is a well-established fault-detection and isolation (FDI) technique.
It utilizes wavelet analysis and PCA to extract important features from process data. This …