A robust adaptive tracking control approach is presented for a class of strict-feedback single-
input-single-output nonlinear systems. By employing radial-basis-function neural networks …

The dynamic surface control (DSC) technique was developed recently by Swaroop et al.
This technique simplified the backstepping design for the control of nonlinear systems in …

This paper is concerned with the problem of adaptive neural tracking control for a class of
uncertain pure-feedback nonlinear systems. Using the implicit function theorem and …

This brief addresses the problem of designing adaptive neural network tracking control for a
class of strict-feedback systems with unknown time-varying disturbances of known periods …

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

This paper addresses the problem of adaptive neural tracking control for nonlinear nonstrict-
feedback systems. The state variables are immeasurable and only the system output is …

In this paper, both full state and output feedback adaptive neural network (NN) controllers
are presented for a class of strict-feedback discrete-time nonlinear systems. Firstly …

This paper develops a robust adaptive neural network (NN) tracking control scheme for a
class of strict-feedback nonlinear systems with unknown nonlinearities and unknown …

In this article, an adaptive optimized control scheme based on neural networks (NNs) is
developed for a class of perturbed strict-feedback nonlinear systems. An optimized …

This paper deals with adaptive tracking for discrete-time multiple-input-multiple-output
(MIMO) nonlinear systems in presence of bounded disturbances. In this paper, a high-order …