Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximation Techniques by Jeffrey T. Spooner, Kevin M. Passino, Manfredi Maggiore, Raúl Ordóñez

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Textbook (Hardcover)

  • 568pp
  • Sales Rank: 666,850

TEXTBOOK INFORMATION

  • ISBN-13: 9780471415466
  • Edition Number: 1
  • Pub. Date: May 2002
  • Publisher: Wiley, John & Sons, Incorporated
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Product Details

  • Pub. Date: May 2002
  • Publisher: Wiley, John & Sons, Incorporated
  • Format: Textbook Hardcover, 568pp
  • Sales Rank: 666,850

Synopsis


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

Booknews

Two useful approaches to the control of nonlinear systems are brought together for students and practitioners in need of background information. The text presents a control methodology that may be verified with mathematical rigor while possessing the flexibility associated with intelligent control approaches. Examples demonstrate how the methodology can be applied to real-world systems such as motor control, aircraft control, industrial automation, and other nonlinear systems. Guidelines are provided for design and application of techniques, and design techniques are presented for nonlinear multi- input multi-output systems. Homework problems and design projects are included. Spooner is a senior member of the technical staff at Sandia National Laboratories. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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Biography

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.

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