This paper deals with adaptive tracking for discrete-time multiple-input-multiple-output
(MIMO) nonlinear systems in presence of bounded disturbances. In this paper, a high-order …

Control design for helicopters is a complicated and challenging problem due to the strong
inter-couplings and nonlinear uncertainties in the system model. This paper deals with the …

This paper focuses on the problem of discrete-time nonlinear system identification via
recurrent high order neural networks. It includes the respective stability analysis on the basis …

A nonlinear discrete-time neural observer for discrete-time unknown nonlinear systems in
presence of external disturbances and parameter uncertainties is presented. It is based on a …

Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of
information on the modeling and design of controllers for the doubly fed induction generator …

The stabilization of large-scale systems has been extensively studied over last years. In the
modeling of large-scale systems which are composed of interconnected subsystems, the …

In this paper, a nonlinear intelligent observer design is applied for a class of nonlinear
discrete-time flexible joint robot (DFJR) dynamic system based on artificial neural network …

This paper proposes a neural control integrating stereo vision feedback for driving a mobile
robot. The proposed approach consists in synthesizing a suitable inverse optimal control to …

This paper presents a discrete-time decentralized control scheme for trajectory tracking of a
two degrees of freedom (DOF) robot manipulator. A high order neural network (HONN) is …

This paper presents a solution of the trajectory tracking problem for robotic manipulators
using a recurrent high order neural network (RHONN) structure to identify the robot arm …