Spooner / Maggiore / Ordóñez Stable Adaptive Control and Estimation for Nonlinear Systems

Neural and Fuzzy Approximator Techniques
1. Auflage 2004
ISBN: 978-0-471-46097-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 568 Seiten, E-Book

Reihe: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

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

Autoren/Hrsg.

Spooner, Jeffrey T.

Maggiore, Manfredi

Ordóñez, Raúl

Passino, Kevin M.

Inhaltsverzeichnis

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.

Über Autor(innen)

JEFFREY T. SPOONER is a senior member of the technical staff atSandia National Laboratories, Albuquerque, New Mexico.
MANFREDI MAGGIORE is an assistant professor in the Department ofElectrical and Computer Engineering at the University of Toronto,Canada.
RAÚL ORDÓÑEZ is an assistant professor inthe Department of Electrical and Computer Engineering at theUniversity of Dayton, Ohio.
KEVIN M. PASSINO is a professor in the Department of ElectricalEngineering at The Ohio State University.