Stable Adaptive Control and Estimation for Nonlinear Systems

Jeffrey T. Spooner

ISBN 10: 0471415464 / ISBN 13: 9780471415466

Published by John Wiley & Sons Inc, 2001

About this Item

2001. 1st Edition. Hardcover. This book describes the use of neural networks and fuzzy methods for identifying and controlling nonlinear dynamical systems. It combines advanced concepts from traditional control theory with the intuitive properties of intelligent systems to solve real-world control problems. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 568 pages, Illustrations. BIC Classification: PBWR; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 167 x 36. Weight in Grams: 982. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9780471415466

Bibliographic Details

• Title: Stable Adaptive Control and Estimation for Nonlinear Systems
• Publisher: John Wiley & Sons Inc
• Publication Date: 2001
• Language: English
• ISBN 10: 0471415464
• ISBN 13: 9780471415466
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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

About the Author

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.

RAÚL ORDÓÑEZ 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.