1st Edition
Neural Network Control Of Robot Manipulators And Non-Linear Systems
466 Pages
by
CRC Press
468 Pages
by
CRC Press
Also available as eBook on:
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 improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of... Read more
1. Background on Neural Networks 2. Background on Dynamic Systems 3. Robot Dynamics and Control 4.Neural Network Robot Control: Applications and Extensions 5. Neural Network Control of Non-linear Systems 6. Neural Network Control with Discrete-time Feedback Linearization by Neural Networks 7. System Identification Using Discrete-time Neural Networks
Biography
F W Lewis (Author) , S. Jagannathan (Author) , A Yesildirak (Author)
