In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

In this paper, a hybrid fuzzy adaptive output feedback control design approach is proposed
for a class of multiinput and multioutput strict-feedback nonlinear systems with unknown time …

Adaptive fuzzy control via command filtering is proposed for uncertain strict-feedback
nonlinear systems with unknown nonsymmetric dead-zone input signals in this paper. The …

This paper studies the problem of adaptive fuzzy control for switched multi-input and multi-
output (MIMO) nonlinear systems with full state constraints and unknown dead zones. First …

This paper is concerned with the problem of adaptive fuzzy tracking control for a class of
multi-input and multi-output (MIMO) strict-feedback nonlinear systems with both unknown …

In this paper, the problems of stability and tracking control for a class of large-scale
nonlinear systems with unmodeled dynamics are addressed by designing the decentralized …

A neural network (NN) adaptive control design problem is addressed for a class of uncertain
multi-input-multi-output (MIMO) nonlinear systems in block-triangular form. The considered …

In the paper, an adaptive tracking control design is studied for a class of nonlinear discrete-
time systems with dead-zone input. The considered systems are of the nonaffine pure …

In this paper, two adaptive neural network (NN) decentralized output feedback control
approaches are proposed for a class of uncertain nonlinear large-scale systems with …

This article investigates a problem of adaptive neural output-feedback tracking control for a
class of switched uncertain nonlinear systems in nonstrict-feedback structure with average …