A type of high-order fully actuated (HOFA) systems with both nonlinear uncertainties and
time-varying unknown parameters is considered, and a direct approach for the designs of …

In this paper, two adaptive fuzzy output feedback control approaches are proposed for a
class of uncertain stochastic nonlinear strict-feedback systems without the measurements of …

This paper investigates the control issue of marine surface vehicles (MSVs) subject to
internal and external uncertainties without velocity information. Utilizing the specific …

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

This paper focuses on the problem of adaptive neural network (NN) control for a class of
nonlinear nonstrict-feedback systems via output feedback. A novel adaptive NN …

Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory.
In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with …

In this paper, an adaptive fuzzy backstepping dynamic surface control (DSC) approach is
developed for a class of multiple-input-multiple-output nonlinear systems with immeasurable …

In this paper, we consider the problem of observer-based adaptive neural output-feedback
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …

In this article, the high-order nonlinear system is commonly studied in an underactuated
weakly coupled mechanical system, the control design is difficult from the tractional control …

In this paper, the direct adaptive neural control is proposed for a class of uncertain nonaffine
nonlinear systems with unknown nonsymmetric input saturation. Based on the implicit …