In this paper, a novel control scheme is developed for a teleoperation system, combining the
radial basis function (RBF) neural networks (NNs) and wave variable technique to …

This paper proposes a novel bilateral adaptive control scheme to achieve position and force
coordination performance of underwater manipulator teleoperation system under model …

Control of the maglev system is one of the most significant technologies of the maglev train.
The common proportion integration differentiation (PID) method, which has fixed control …

The wheel brake system of an aircraft is the key to ensure its safe landing and rejected
takeoff. A wheel's slip state is determined by the brake torque and ground adhesion torque …

In this paper, a novel optimal adaptive radial basis function neural network (RBFNN) control
has been investigated for a class of multiple-input-multiple-output (MIMO) nonlinear robot …

A maximum power point tracking control strategy for an affine nonlinear constant
displacement pump-variable hydraulic motor actuation system with parameter uncertainty …

This work addresses the problem of robust stabilization of twin rotor multi-input-multi-output
system in the presence of inherent actuator non-linearity and plant structured uncertainties …

This paper presents a novel nonlinear decoupling control scheme for a permanent magnet
in-wheel motor (PMIWM), in which both the radial basis function neural network inverse …

Unpredictable disturbances and chattering are the major challenges of the robot
manipulator control. In recent years, trajectory-tracking-based controllers have been …

Abstract; This paper presents the general form of control theory problem. Regarding on all
primary research fields of control theory, such as optimal control, robust control, sliding …