Neural Network Control of Robot Manipulators and Nonlinear Systems (Hardcover)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Series in Systems and Control
Release date:	November 1998
First published:	1999
Authors:	F.W. Lewis • S. Jagannathan • A. Yesildirak
Dimensions:	254 x 178 x 27mm (L x W x T)
Format:	Hardcover
Pages:	466
ISBN-13:	978-0-7484-0596-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	0-7484-0596-8
Barcode:	9780748405961

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!