This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

In this article, the adaptive finite-time tracking control is studied for state constrained
stochastic nonlinear systems with parametric uncertainties and input saturation. To this end …

This article focuses on a dynamic event-triggered adaptive neural networks backstepping
control for a class of uncertain strict-feedback systems with communication constraints. The …

This article is concerned with the exponential mean-square stabilization problem for a class
of discrete-time strict-feedback nonlinear systems subject to multiplicative noises. The state …

This paper studies an adaptive neural network (NN) tracking control method for a class of
uncertain nonlinear strict-feedback systems with time-varying full-state constraints. As we all …

This paper studies an adaptive fuzzy tracking control problem for nonlinear stochastic
systems with input saturation and nonstrict-feedback form. We use fuzzy logic systems to …

This paper is concerned with the problem of global output-feedback control for a class of
stochastic nonlinear time-delay systems in the presence of input saturation and …

In this technical note, the problem of adaptive tracking control is investigated for a class of
stochastic uncertain nonlinear systems in the presence of input saturation. To analyze the …

This paper focuses on an observer-based adaptive fuzzy control problem for nonstrict-
feedback stochastic nonlinear systems with input saturation and prescribed performance. By …

In this article, the adaptive neural backstepping control approaches are designed for
uncertain stochastic nonlinear systems with full-state constraints. According to the symmetry …