There has been great interest in" universal controllers" that mimic the functions of human
processes to learn about the systems they are controlling on-line so that performance …

The author describes neural network controllers for robot manipulators in a variety of
applications, including position control, force control, parallel-link mechanisms, and digital …

Introduction; Mathematical background; Dynamic modelling of robots; Structured network
modelling of robots; Adaptive neural network control of robots; Neural network model …

The past five years have witnessed a great deal of progress in both the theory and the
practice of control using neural net works. After a long period of experimentation and …

Robot Manipulator Control offers a complete survey of control systems for serial-link robot
arms and acknowledges how robotic device performance hinges upon a well-developed …

A robust neural network output feedback scheme is developed for the motion control of robot
manipulators without measuring joint velocities. A neural network observer is presented to …

Control problems offer an industrially important application and a guide to understanding
control systems for those working in Neural Networks. Neural Systems for Control represents …

Intelligent systems are a hallmark of modern feedback control systems. But as these systems
mature, we have come to expect higher levels of performance in speed and accuracy in the …

Presents an approach and a systematic design methodology to adaptive motion control
based on neural networks (NNs) for high-performance robot manipulators, for which stability …

A neural net (NN) controller for a general serial-link robot arm is developed. The NN has two
layers so that linearity in the parameters holds, but the" net functional reconstruction error" …