A low‐cost battery‐less solar‐powered PMDC motor using an adaptive backstep**
Chebyshev neural network controller to track the desired speed for any change in irradiance …

In the framework of the backstep** algorithm, this article proposes a new function
approximation technique (FAT)-based compound learning control law for electrically-driven …

In the present study, a continuous fuzzy nonsingular terminal sliding mode control
(CFNTSMC) was proposed based on the nonlinear finite-time observer (NFTO), in a voltage …

Recently, regressor-free control approach has been presented in which uncertainties are
estimated using function approximation techniques (FAT) such as the Fourier series …

This paper presents a novel combined State Dependent Riccati Equation (SDRE)/Function
Approximation Technique (FAT)-based control design for nonlinear uncertain systems. The …

This paper deals with the robust control of robot manipulators by presenting a novel voltage-
based control approach. For this purpose, an Extended State Observer (ESO) is utilized to …

This paper presents a novel control algorithm for electrically driven robot manipulators. The
proposed control law is simple and model-free based on the voltage control strategy with the …

The motion control of robot manipulators is a crucial problem concerning automatically
controlled robots. In this work, the model predictive control method with an integral …

In this paper, a new method for secure communication based on chaos synchronization is
proposed. It is consisted of a state feedback controller and a robust control term using the …

Most control algorithms for rigid-link electrically driven robots are given in joint coordinates.
However, since the task to be accomplished is expressed in Cartesian coordinates, inverse …