Adaptive Neural Network Control Of Robotic Manipulators (Hardcover)

Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an "on-and-off" fashion. This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Series:	World Scientific Series In Robotics And Intelligent Systems, 19
Release date:	December 1998
First published:	December 1998
Authors:	Sam Shuzhi Ge • Christopher J. Harris • Tong Heng Lee
Dimensions:	161 x 223 x 26mm (L x W x T)
Format:	Hardcover
Pages:	396
ISBN-13:	978-981-02-3452-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	981-02-3452-X
Barcode:	9789810234522

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