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 …

Interval observer design and related techniques have been researched and applied in many
engineering fields and continue to be an active research area in the estimation and control …

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 …

This article investigates fault detection (FD) for discrete-time T–S fuzzy systems via an
iterative interval estimation method. By means of system output and the iterative estimation …

When designing interval observers for switched systems, for simplicity, it is always assumed
that the switching signal of interval observers is synchronised with one of subsystems …

Local nonlinear fuzzy systems are useful for control solutions due to their ability to handle
unmeasurable/inexact premise variables and reduce computational complexity. However …

This article studies unknown input observer design for linear parameter-varying systems in a
bounded error context. By presenting a novel unknown input observer structure, the output …

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 …

This study considers the problem of interval estimation for event-triggered 2-D systems in
Fornasini–Marchesini local state-space (FMLSS) model. In such systems, the general …