In this paper, an adaptive neural net-works (NNs)-based decentralized control scheme with
the prescribed performance is proposed for uncertain switched nonstrict-feedback …

This manuscript studies a finite-time tracking problem of switched stochastic nonlinear
uncertain systems. By utilizing a comparison theorem and a mean value theorem of …

This paper investigates the adaptive fuzzy tracking control problem for a class of uncertain
nonlinear strict-feedback systems under sensor faults and unmeasured states. To address …

An adaptive prescribed performance control method is presented through the use of
command filter theory for a class of uncertain systems with actuator hysteretic nonlinearity …

This paper focuses on the dissipativity-based asynchronous filtering problem for a class of
discrete-time Takagi-Sugeno fuzzy Markov jump systems subject to randomly occurred …

Adaptive fuzzy fault-tolerant control problem for a class of uncertain switched stochastic
nonlinear systems with time-varying asymmetric output constraints is addressed in this …

Incorporating the disturbance frequency into system analysis and synthesis, this paper is
dedicated to the quantized static output control of linear Markov jump systems. The output …

This paper is concerned with the problem of H∞ filter design for discrete-time Takagi-
Sugeno (TS) fuzzy systems under an event-triggered (ET) communication mechanism. A …

The adaptive fuzzy prescribed performance tracking control design problem is investigator
switched stochastic nonlinear systems with unknown control directions in this paper. The …

This article is concerned with the problem of event-triggered (ET) fault detection (FD)
observer design for Takagi-Sugeno (TS) fuzzy systems. The nonlinear systems considered …