In this article, the offline fault estimation via a sampled-output-data-driven adaptive observer
is investigated for a class of Takagi–Sugeno fuzzy descriptor nonlinear systems. The …

This paper provides a new non-quadratic stabilization conditions based on adaptive fuzzy
observer for a class of Takagi-Sugeno (TS) fuzzy systems subject to external disturbances …

This paper presents a Proportional-Integral observer (PIO) that allows simultaneous states
and unknown input estimation. The goal of this observer is to perform actuator fault …

Abstract The stability of Takagi–Sugeno fuzzy hidden Markovian jump systems by employing
a memory sampled-data control (SDC) scheme that includes a constant signal transmission …

This paper focuses on the stabilization and unknown-input estimation (UIE) problem of
continuous-time delayed systems by virtue of functional-observer (FO)-based feedback …

For a class of nonlinear descriptor systems, the off-line convergent iterative fault estimation
is achieved via discrete sampled output data. The observers relying on real-time continuous …

In this study, an unknown input observer is proposed for a class of nonlinear GPFOSs. For
this class of systems, both full-order and reduced-order observers have been established …

This paper aims to examine the stability and tracking performance of a bilateral
teleoperation system. The Takagi–Sugeno fuzzy method is utilized, through which the …

With the continuous development of intelligent technology, the automotive industry is
transforming intelligent connected vehicles. Intelligent connected vehicles can obtain …