In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) of a three joint robotic manipulator with the comparison of the SISO generalized predictive control (GPC) is presented. Dynamics modeling of the robotic manipulator was made by using the Lagrange-Euler equations. The frictional effects, the random disturbance, the state of carrying and falling load were added to dynamics model. The sinusoidal trajectory principle is used for position reference and velocity reference trajectories. The results show that the NGPC-SISO algorithm performs better than GPC-SISO algorithm and the influence of the load changes and disturbances to the NGPC-SISO is less than that of the GPC-SISO with si...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Abstract:- In this paper a comparison of classical, adaptive and neural control strategies for a rob...
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 ...
Generalised Predictive Control (GPC) is an optimal model-based control algorithm that uses an explic...
Robots are complex electromechanical systems where several electric drives are employed to control t...
One of the most common sources of performance limitation in the control of mechatronic systems is as...
This paper presents an improved generalized predictive control (GPC) scheme integrated with a distur...
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 ...
This paper proposes a position control strategy based on Artificial Neural Networks (ANN) in the fac...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Abstract:- In this paper a comparison of classical, adaptive and neural control strategies for a rob...
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 ...
Generalised Predictive Control (GPC) is an optimal model-based control algorithm that uses an explic...
Robots are complex electromechanical systems where several electric drives are employed to control t...
One of the most common sources of performance limitation in the control of mechatronic systems is as...
This paper presents an improved generalized predictive control (GPC) scheme integrated with a distur...
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 ...
This paper proposes a position control strategy based on Artificial Neural Networks (ANN) in the fac...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Part 8: Industrial ApplicationsInternational audienceThis paper presents the development of a genera...
Abstract:- In this paper a comparison of classical, adaptive and neural control strategies for a rob...