eBook - PDF

Adaptive Neural Network Control Of Robotic Manipulators

Name: Adaptive Neural Network Control Of Robotic Manipulators
ISBN: 9789812816283

Sam Shuzhi Ge,

Christopher J Harris,

Tong Heng Lee,

396 pages
English
PDF
Available on iOS & Android

eBook - PDF

Adaptive Neural Network Control Of Robotic Manipulators

Sam Shuzhi Ge,

Christopher J Harris,

Tong Heng Lee,

About this book

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.

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Yes, you can access Adaptive Neural Network Control Of Robotic Manipulators by Sam Shuzhi Ge, Christopher J Harris, Tong Heng Lee in PDF and/or ePUB format, as well as other popular books in Scienze biologiche & Scienza generale. We have over one million books available in our catalogue for you to explore.