In this article, the problem of tracking control for a class of nonlinear time-varying full state
constrained systems is investigated. By constructing the time-varying asymmetric barrier …

This paper proposes an adaptive neural control method for a class of nonlinear time-varying
delayed systems with time-varying full-state constraints. To address the problems of the time …

This paper addresses the dynamic surface control of uncertain nonlinear systems on the
basis of composite intelligent learning and disturbance observer in presence of unknown …

In this paper, a novel adaptive fuzzy tracking control strategy is developed for nonlinear time-
varying delayed systems with full state constraints. State constraints and time delays are …

This paper deals with the tracking control problem for a class of nonlinear multiple input
multiple output unknown time-varying delay systems with full state constraints. To overcome …

Aim to recover the motor function of impaired lower limbs of stroke patients, in this paper, we
propose a novel adaptive robust control with a fuzzy optimal gain design approach for an …

This paper investigates the adaptive finite-time stabilization of a class of switched nonlinear
systems with unknown nonlinear terms using neural networks. Under the assumption that all …

This paper studies an observer-based neural network position tracking control scheme for
induction motors system operating under a field-oriented control scheme with the problem of …

In this paper, based on a disturbance observer (DO), an adaptive neural network (ANN)
tracking control scheme is proposed for the multi-input and multi-output (MIMO) strict …

A minimal-approximation-based distributed adaptive consensus tracking approach is
presented for strict-feedback multiagent systems with unknown heterogeneous …