In recent years, the problems of asynchronous control and filtering for Markov jump systems
(MJSs) have received great research attention from scientific and engineering communities …

This article devotes to solve the fault-tolerant control problem based on interval type-2 (IT2)
Takagi–Sugeno (T–S) fuzzy stochastic switched uncertain time-delayed systems with signal …

In this paper, the problems of output tracking control and filtering are investigated for Takagi-
Sugeno fuzzy-approximation-based nonlinear descriptor systems in the discrete-time …

This paper investigates the problem of dissipativity-based asynchronous fuzzy integral
sliding mode control (AFISMC) for nonlinear Markov jump systems represented by Takagi …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

This paper focuses on the sliding mode control (SMC) problem of interval type-2 (IT2) fuzzy
systems subject to the unmeasurable state and cyberattacks. A key issue is how to design a …

In this paper, the peak-to-peak filtering problem is studied for a class of networked nonlinear
systems. The nonlinear physical plant is represented by the Takagi-Sugeno fuzzy system …

This article is to tackle the event-based state-feedback control problem for interval type-2
(IT2) fuzzy systems subject to the fading channel. For saving communication resources, a …

In this article, the event-triggered multistep model predictive control for the discrete-time
nonlinear system over communication networks under the influence of packet dropouts and …

This paper deals with the problem of dissipativity-based asynchronous fault detection (FD)
for Takagi-Sugeno fuzzy Markov jump systems with network data dropouts. It is assumed …