Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …

This article deals with the fault detection and isolation problems for a class of uncertain
discrete-time Takagi-Sugeno (TS) fuzzy system based on the combination of the H-infinity …

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

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

This article investigates the fault estimation (FE) problem for a class of nonlinear systems via
an adaptive fuzzy approach. Considering the limited communication capacity of networks …

In this article, we propose a general graph optimization-based framework for localization,
which can accommodate different types of measurements with varying measurement time …

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 …

The main goal of this article is to design interval observers for continuous nonlinear switched
systems. The nonlinear modes are described by the multimodel approach of Takagi-Sugeno …

This work deals with the design observer-based sliding mode control for discrete-time
Takagi–Sugeno fuzzy models with time-varying delay and subject to measurement noises …