This article first investigates the adaptive fuzzy inverse optimal control design problem for a
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …

In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

This paper investigates an adaptive fuzzy tracking control design problem for single-input
and single-output uncertain nonstrict feedback nonlinear systems. For the cases of the states …

This paper investigates the adaptive tracking control problem for a class of uncertain single-
input and single-output strict-feedback nonlinear systems with unknown control direction …

In this paper, a hybrid fuzzy adaptive output feedback control design approach is proposed
for a class of multiinput and multioutput strict-feedback nonlinear systems with unknown time …

This paper studies an adaptive tracking control for a class of nonlinear stochastic systems
with unknown functions. The considered systems are in the nonaffine pure-feedback form …

This paper is concerned with the problem of adaptive fuzzy tracking control for a class of
pure-feedback stochastic nonlinear systems with input saturation. To overcome the design …

The adaptive fuzzy tracking control design problem for multi-input and multi-output uncertain
switched nonstrict-feedback nonlinear systems with arbitrary switchings is investigated in …

In this paper, an adaptive neural network (NN) control approach is proposed for nonlinear
pure-feedback systems with time-varying full state constraints. The pure-feedback systems of …

This brief considers the problem of neural networks (NNs)-based adaptive dynamic surface
control (DSC) for permanent magnet synchronous motors (PMSMs) with parameter …