In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) and SISO generalized predictive control (GPC) of a three joint robotic manipulator are presented. The sinusoidal and cubic trajectory principles were used for position reference and velocity reference trajectories. NGPC-SISO algorithm performs better than GPC-SISO algorithm for both trajectories. The GPC-SISO robotic manipulator control results have better values in the case of the sinusoidal trajectory, but the NGPC-SISO robotic manipulator control results for both the cubic and sinusoidal trajectory are almost similar
The present work proposes a comparative study of two control techniques applied for mobile robots tr...
This paper presents an improved generalized predictive control (GPC) scheme integrated with a distur...
For redundant fixed or mobile manipulators in shared human-robot workspaces, control algorithms are ...
In this study, the application of the single input single output (SISO) neural generalized predictiv...
In this study, a single-input single-output (SISO) neural generalized predictive control (NGPC) was ...
In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was ...
Robots are complex electromechanical systems where several electric drives are employed to control t...
Generalised Predictive Control (GPC) is an optimal model-based control algorithm that uses an explic...
In this study, an efficient application of a vision based position control of a robotic manipulator ...
One of the most common sources of performance limitation in the control of mechatronic systems is as...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
In this paper, a new neural network technique for robot manipulator control is proposed. This techni...
The present work proposes a comparative study of two control techniques applied for mobile robots tr...
This paper presents an improved generalized predictive control (GPC) scheme integrated with a distur...
For redundant fixed or mobile manipulators in shared human-robot workspaces, control algorithms are ...
In this study, the application of the single input single output (SISO) neural generalized predictiv...
In this study, a single-input single-output (SISO) neural generalized predictive control (NGPC) was ...
In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was ...
Robots are complex electromechanical systems where several electric drives are employed to control t...
Generalised Predictive Control (GPC) is an optimal model-based control algorithm that uses an explic...
In this study, an efficient application of a vision based position control of a robotic manipulator ...
One of the most common sources of performance limitation in the control of mechatronic systems is as...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
This paper addresses the position tracking control application of a parallel robot using predictive ...
In this paper, a new neural network technique for robot manipulator control is proposed. This techni...
The present work proposes a comparative study of two control techniques applied for mobile robots tr...
This paper presents an improved generalized predictive control (GPC) scheme integrated with a distur...
For redundant fixed or mobile manipulators in shared human-robot workspaces, control algorithms are ...