In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

This paper investigates the problem of output feedback neural network (NN) learning
tracking control for nonlinear strict feedback systems subject to prescribed performance and …

An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …

In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

The finite-time consensus fault-tolerant control (FTC) tracking problem is studied for the
nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject …

This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback
nonlinear systems with the actuator faults. The functional relationship in the affine form …

This paper addresses the problem of adaptive tracking control for a class of strict-feedback
nonlinear state constrained systems with input delay. To alleviate the major challenges …

This article put forward an adaptive neural fault-tolerant control strategy for a class of
switched nonlinear systems subject to actuator fault by means of the command filter …

In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class
of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and …

This article solves the safe trajectory tracking control problem of robot manipulators with
actuator faults, uncertain dynamics, and external disturbance. Another key issue met in …