Neural Network Systems Techniques and Applications, Seven-Volume Set: Control and Dynamic Systems, Neural Network Systems Techniques and Applications, Volume 7 [Hardcover]

Cornelius T. Leondes (Series Editor)

Book Description

ISBN-10: 0124438679 | ISBN-13: 978-0124438675 | Publication Date: December 25, 1997 | Edition: 1

The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies.
Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.

Key Features
Coverage includes:
* Orthogonal Activation Function Based Neural Network System Architecture (OAFNN)
* Multilayer recurrent neural networks for synthesizing and implementing real-time linear control
* Adaptive control of unknown nonlinear dynamical systems
* Optimal Tracking Neural Controller techniques
* Consideration of unified approximation theory and applications
* Techniques for determining multivariable nonlinear model structures for dynamic systems,
with a detailed treatment of relevant system model input determination

Editorial Reviews

About the Author

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

Product Details

• Hardcover: 438 pages
• Publisher: Academic Press; 1 edition (December 25, 1997)
• Language: English
• ISBN-10: 0124438679
• ISBN-13: 978-0124438675
• Product Dimensions: 9.3 x 6.3 x 1 inches
• Shipping Weight: 1.9 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #4,235,617 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

5.0 out of 5 stars A Goldmine, September 9, 2003

By 

James H. McDuffie (Huntsville, Alabama United States) - See all my reviews
(REAL NAME)   

This review is from: Neural Network Systems Techniques and Applications, Seven-Volume Set: Control and Dynamic Systems, Neural Network Systems Techniques and Applications, Volume 7 (Hardcover)

This book has been a goldmine of ideas in control theory and neural networks for my research and has contributed greatly to my knowledge of neural networks. I can say that about very few other books. The papers on system identification using neural networks have been particularly useful to me.