This paper investigates the problem of adaptive control for a class of stochastic nonlinear
time‐delay systems with unknown dead zone. A neural network‐based adaptive control …

For a class of stochastic nonlinear systems in pure-feedback form with dead-zone input and
multiple time-varying delays, a novel neural network (NN)-based adaptive control approach …

This paper discusses the problem of adaptive neural network output feedback control for a
class of stochastic nonlinear strict-feedback systems. The concerned systems have certain …

This paper presents an adaptive output-feedback neural network (NN) control scheme for a
class of stochastic nonlinear time-varying delay systems with unknown control directions. To …

This paper focuses on the problem of output-feedback adaptive stabilization for a class of
stochastic nonlinear time-delay systems with unknown control directions. First, based on a …

This paper considers the problem of adaptive neural tracking control for a class of nonlinear
stochastic pure‐feedback systems with unknown dead zone. Based on the radial basis …

For a class of stochastic nonlinear time-delay systems with multiple constraints-predefined
tracking constraint, input saturation, and output dead zone-the output tracking control …

This study addresses the adaptive tracking control problem for a class of time‐delay systems
in strict‐feedback form with unknown control gains and uncertain actuator non‐linearity. The …

In this paper, an effective adaptive control approach is constructed to stabilize a class of
nonlinear discrete-time systems, which contain unknown functions, unknown dead-zone …

This paper investigates finite-time adaptive neural tracking control for a class of nonlinear
time-delay systems subject to the actuator delay and full-state constraints. The difficulty is to …