Stable Adaptive Control: Neural and Fuzzy Approximator Techniques: 28 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Stable Adaptive Control: Neural and Fuzzy Approximator Techniques: 28 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

by Spooner (Author), Maggiore (Author), Ordonez (Author)

Synopsis

* Includes a solution manual for problems.* Provides MATLAB code for examples and solutions.* Deals with robust systems in both theory and practice.

$184.15

Quantity

20+ in stock

More Information

Format: Illustrated
Pages: 568
Edition: 1
Publisher: John Wiley & Sons
Published: 10 May 2002

ISBN 10: 0471415464
ISBN 13: 9780471415466

Media Reviews
...well-organized...very useful for a graduate level control or intelligent systems course... (International Journal of Robust and Nonlinear Control, January 2005) ...the text is well organised with topics judiciously selected to build on each other...the discussion and motivations are rigorous... (International Journal of Robust & Nonlinear Control, Vol.15, No.1, 10th January 2005) ...this is an excellent book. It is pedagogically sound and, hence, suitable as a text for graduate courses... I recommend it also as a very valuable resource to practitioners... (International Journal of General Systems, Vol. 32, 2003)
Author Bio
JEFFREY T. SPOONER is a senior member of the technical staff at Sandia National Laboratories, Albuquerque, New Mexico. MANFREDI MAGGIORE is an assistant professor in the Department of Electrical and Computer Engineering at the University of Toronto, Canada. RAUL ORDONEZ is an assistant professor in the Department of Electrical and Computer Engineering at the University of Dayton, Ohio. KEVIN M. PASSINO is a professor in the Department of Electrical Engineering at The Ohio State University.