Cart
Free US shipping over $10
Proud to be B-Corp

Stable Adaptive Control and Estimation for Nonlinear Systems Jeffrey T. Spooner (Sandia National Laboratories)

Stable Adaptive Control and Estimation for Nonlinear Systems By Jeffrey T. Spooner (Sandia National Laboratories)

Stable Adaptive Control and Estimation for Nonlinear Systems by Jeffrey T. Spooner (Sandia National Laboratories)


Summary

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.

Stable Adaptive Control and Estimation for Nonlinear Systems Summary

Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques by Jeffrey T. Spooner (Sandia National Laboratories)

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

Stable Adaptive Control and Estimation for Nonlinear Systems Reviews

"well-organizedvery 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 otherthe 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)

About Jeffrey T. Spooner (Sandia National Laboratories)

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.

Table of Contents

Introduction.

PART I: FOUNDATIONS.

Mathematical Foundations.

Neural Networks and Fuzzy Systems.

Optimization for Training Approximators.

Function Approximation.

PART II: STATE-FEEDBACK CONTROL.

Control of Nonlinear Systems.

Direct Adaptive Control.

Indirect Adaptive Control.

Implementations and Comparative Studies.

PART III:OUTPUT-FEEDBACK CONTROL.

Output-Feedback Control.

Adaptive Output Feedback Control.

Applications.

PART IV: EXTENSIONS.

Discrete-Time Systems.

Decentralized Systems.

Perspectives on Intelligent Adaptive Systems.

For Further Study.

Bibliography.

Index.

Additional information

NPB9780471415466
9780471415466
0471415464
Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques by Jeffrey T. Spooner (Sandia National Laboratories)
New
Hardback
John Wiley & Sons Inc
2002-06-12
568
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Stable Adaptive Control and Estimation for Nonlinear Systems