This paper focuses on approximation-based adaptive neural control of a class of nonlinear
non-strict-feedback systems. Based on the structural characteristic and the monotonously …

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 …

This paper focuses on the problem of the adaptive neural control for a class of a perturbed
pure-feedback nonlinear system. Based on radial basis function (RBF) neural networks' …

This article investigates the issue of adaptive finite‐time tracking control for a category of
output‐constrained nonlinear systems in a non‐strict‐feedback form. First, by utilizing the …

In this article, an adaptive finite-time tracking control scheme is developed for a category of
uncertain nonlinear systems with asymmetric time-varying full-state constraints and actuator …

In this brief, a new adaptive neurocontrol algorithm for a single-input-single-output (SISO)
strict-feedback nonlinear system is proposed. Most of the previous adaptive neural control …

This paper presents a robust adaptive neural control design for a class of perturbed strict
feedback nonlinear system with both completely unknown virtual control coefficients and …

This paper investigates the problems of backstepping control for a class of nonsmooth
nonlinear systems. With the help of set-valued functions (or maps) and set-valued …

In this paper, direct adaptive neural-network (NN) control is presented for a class of affine
nonlinear systems in the strict-feedback form with unknown nonlinearities. By utilizing a …

This paper focuses on the problem of adaptive neural output-feedback control for a class of
nonstrict-feedback nonlinear systems where the system coefficient functions are unknown …