Neural Network Control Of Robot Manipulators And Non-Linear Systems

by F W Lewis, S. Jagannathan, A Yesildirak

Overview

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 high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.

Product Details

ISBN-13:	9781000162776
Publisher:	CRC Press
Publication date:	08/13/2020
Series:	Series in Systems and Control
Sold by:	Barnes & Noble
Format:	eBook
Pages:	468
File size:	192 MB
Note:	This product may take a few minutes to download.

About the Author

F W Lewis (Author) ,  S. Jagannathan (Author) ,  A Yesildirak (Author)

Table of Contents

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

Editorial Reviews

A graduate text providing an account of neural network (NN) controllers for robotics and nonlinear systems, offering a general and streamlined design procedure for NN controllers. Provides a background to NNs, dynamical systems, and control, then introduces the robot control problem and standard techniques such as torque, and adaptive and robust control. Gives design techniques and stability proofs for NN controllers for robot arms, practical robotic systems with high frequency vibratory modes, force control, and a general class of nonlinear systems. Concludes with a discussion of discrete-time NN controllers. Includes chapter problems. Lewis is affiliated with the University of Texas at Arlington's Automation and Robotics Research Institute. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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