Add to ORKGThe use of Neural Networks in solving nonlinear control problem is studied. A comparative study of various nonlinear techniques is being done for a Robotic Manipulator problem. --Abstract, page iii
An architecture which utilizes two artificial neural systems for planning and control of a robotic a...
The paper is concerned with the application of quadratic optimization for motion control to feedback...
Abstract-A neural map algorithm has been employed to con-trol a five-joint pneumatic robot a r m and...
As an imitation of the biological nervous systems, neural networks (NNs), which have been characteri...
Neural networks can have approximate multi-power, so in recent years they have been used widely and ...
A new neural network (NN) control technique for robot manipulators is introduced in this paper. The ...
The basic robot control technique is the model based computed-torque control which is known to suffe...
AbsZruct-This paper presents a nonlinear compensator using neural networks for trajectory control of...
This paper presents several neural network based control strategies for the trajectory control of ro...
This dissertation is concerned with the development of neural network-based methods to the control o...
A robot manipulator moves under applied forces and torques coupled with a specific set of dynamic eq...
A robot manipulator moves under applied forces and torques coupled with a specific set of dynamic eq...
In this paper, a hierarchical neurocontroller for manipulation of a robotic arm is presented. Specif...
This thesis focuses on the study of the neural network (NN) and its application to robot tracking co...
This book presents and investigates different methods and schemes for the control of robotic arms wh...
An architecture which utilizes two artificial neural systems for planning and control of a robotic a...
The paper is concerned with the application of quadratic optimization for motion control to feedback...
Abstract-A neural map algorithm has been employed to con-trol a five-joint pneumatic robot a r m and...
As an imitation of the biological nervous systems, neural networks (NNs), which have been characteri...
Neural networks can have approximate multi-power, so in recent years they have been used widely and ...
A new neural network (NN) control technique for robot manipulators is introduced in this paper. The ...
The basic robot control technique is the model based computed-torque control which is known to suffe...
AbsZruct-This paper presents a nonlinear compensator using neural networks for trajectory control of...
This paper presents several neural network based control strategies for the trajectory control of ro...
This dissertation is concerned with the development of neural network-based methods to the control o...
A robot manipulator moves under applied forces and torques coupled with a specific set of dynamic eq...
A robot manipulator moves under applied forces and torques coupled with a specific set of dynamic eq...
In this paper, a hierarchical neurocontroller for manipulation of a robotic arm is presented. Specif...
This thesis focuses on the study of the neural network (NN) and its application to robot tracking co...
This book presents and investigates different methods and schemes for the control of robotic arms wh...
An architecture which utilizes two artificial neural systems for planning and control of a robotic a...
The paper is concerned with the application of quadratic optimization for motion control to feedback...
Abstract-A neural map algorithm has been employed to con-trol a five-joint pneumatic robot a r m and...