Stable Adaptive Control and Estimation for Nonlinear Systems
Neural and Fuzzy Approximator Techniques
Published on 24. March 2004
568 pages
978-0-471-46097-8 (ISBN)
Description
* Includes a solution manual for problems.
* Provides MATLAB code for examples and solutions.
* Deals with robust systems in both theory and practice.
Reviews / Votes
"...well-organized...very useful for a graduate levelcontrol or intelligent systems course..." (InternationalJournal of Robust and Nonlinear Control, January 2005) "...the text is well organised with topics judiciouslyselected to build on each other...the discussion andmotivations are rigorous..." (International Journal ofRobust & Nonlinear Control, Vol.15, No.1, 10th January2005) "...this is an excellent book. It is pedagogically sound and,hence, suitable as a text for graduate courses.... I recommend italso as a very valuable resource to practitioners..."(International Journal of General Systems, Vol. 32,2003)More details
Other editions
Additional editions
Jeffrey T. Spooner | Manfredi Maggiore | Raúl Ordóñez
Stable Adaptive Control and Estimation for Nonlinear Systems
Neural and Fuzzy Approximator Techniques
Book
06/2002
Wiley
€182.50
Shipment within 10-20 days
Software
05/2002
Preservation Press,U.S.
€252.70
No shipping information available
Persons
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.
Content
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.
