Fault detection and classification are considered as one of the most mandatory techniques
in nowadays industrial monitoring. The necessity of fault monitoring is due to the fact that …

This article is concerned with the event-triggered fault detection problem for discrete-time
systems subject to unknown-but-bounded (UBB) process disturbance and measurement …

This article proposes an intervalestimation method for discrete-time Lipschitz nonlinear
systems via observer design and ellipsoidal analysis. A robust observer with novel structure …

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 …

An iterative proportional-integral interval estimation strategy for linear discrete-time systems
is investigated in this article. A sequence iterative proportional-integral observer is built on …

For complex nonlinear systems, interval type-2 fuzzy set is a useful strategy due to its ability
to deal well with uncertainties in the system, while posing some difficulties to fault detection …

This article studies the problem of event-triggered fault detection (FD) for 2-D systems
subjected to amplitude-bounded exogenous disturbance and measurement noise via a …

In this paper, the sensor fault detection problem considering the drilling disturbances is
studied for the dynamic point-the-bit rotary steerable system. Firstly, the DPRSS is modeled …

A fault estimation and compensation approach is presented for discrete-time systems with
event-triggered scheme based on zonotope techniques in this paper. Instead of energy …

In this work, an actuator fault detection problem for discrete-time Takagi–Sugeno fuzzy
systems is tackled in a bounded error context where both state disturbances and …