In this paper, the problem of adaptive neural network (NN) dynamic surface control (DSC) is
discussed for a class of strict-feedback nonlinear systems with full state constraints and …

This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone
output nonlinear systems with time delays. A new approximate model is first designed to …

This paper investigates the fusion of unknown direction hysteresis model with adaptive
neural control techniques in face of time-delayed continuous time nonlinear systems without …

This paper addresses the problem of adaptive neural output-feedback control for a class of
special nonlinear systems with the hysteretic output mechanism and the unmeasured states …

This article takes a fast finite-time control of stochastic nonlinear systems into account. The
presence of unknown stochastic disturbance terms makes the traditional fast finite-time …

A key hurdle to meet the needs of micro/nano manipulation in some complex cases is the
inadequate workspace and flexibility of the operation ends. This paper presents a 6-degree …

This paper presents the design and test of a 6-degree-of-freedom (DOF) precision
positioning system, which is assembled by two different 3-DOF precision positioning stages …

This paper is concentrated on the problem of adaptive fuzzy tracking control for an uncertain
nonlinear system whose actuator is encountered by the asymmetric backlash behavior. First …

In this paper, adaptive output feedback tracking control is developed for a class of stochastic
nonlinear systems with dynamic uncertainties and unmeasured states. Neural networks are …

An adaptive fuzzy control approach is proposed for nonaffine pure-feedback systems with
nonaffine functions being semibounded and possibly indifferentiable. A semibounded and …