This article develops a self-triggered adaptive neural network (NN) tracking controller for a
class of continuous-time nonlinear systems, that is, input constrained and with unknown drift …

In this paper, for a class of single-input-single-output (SISO) uncertain nonlinear systems,
adaptive neural tracking controllers designed for digital computer implementation are …

Based on the backstepping technique, an adaptive neural network (NN) based output
feedback controller is proposed to achieve a desired tracking performance for a class of …

This study explores finite-time adaptive neural tracking control for output-constrained
nonlinear systems. An improved command filter was utilized to simplify the controller, and a …

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 …

In this paper, a novel adaptive control strategy is presented for the tracking control of a class
of multi-input-multioutput uncertain nonlinear systems with external disturbances to place …

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 investigates the adaptive neural tracking control problem for strict-feedback
nonlinear systems. Superior to the existing results that only semi-globally uniformly …

This paper presents an online adaptive approximate solution for the optimal tracking control
problem of model-free nonlinear systems. Firstly, a dynamic neural network identifier with …

This paper investigates adaptive neural tracking control problem for nonstrict-feedback
nonlinear systems with completely unknown uncertainties. Superior to the existing results …