As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …

This article focuses on finite-time adaptive fuzzy output-feedback control for a class of
nontriangular nonlinear systems with full-state constraints and unmeasurable states. Fuzzy …

This article studies the issue of adaptive neural network (NN) control for strict-feedback multi-
input and multioutput (MIMO) nonlinear systems with full-state constraints and actuator …

This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

This article investigates an adaptive reinforcement learning (RL) optimal control design
problem for a class of nonstrict-feedback discrete-time systems. Based on the neural …

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 tracking control problem of event-triggered multigradient recursive
reinforcement learning is investigated for nonlinear multiagent systems (MASs). Attention is …

This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …

In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …