Adaptive Control Tutorial

$127.00 (P)

Part of Advances in Design and Control

Authors:
Petros Ioannou, University of Southern California
Barýp Fidan, Australian National University, Canberra

Date Published: September 2007
availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
format: Paperback
isbn: 9780898716153

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$ 127.00 (P)
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Description

Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigour, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes; graduate students who also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics.
- Rigorous approach is balanced by plenty of examples showing how the theory is applied
- Solutions manual for instructors
- Tutorial style makes it suitable for self-learning or class use
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Product details
- Date Published: September 2007
- format: Paperback
- isbn: 9780898716153
- length: 184 pages
- dimensions: 254 x 180 x 20 mm
- weight: 0.698kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
Preface
Acknowledgements
List of acronyms
1. Introduction
2. Parametric models
3. Parameter identification: continuous time
4. Parameter identification: discrete time
5. Continuous-time model reference adaptive control
6. Continuous-time adaptive pole placement control
7. Adaptive control for discrete-time systems
8. Adaptive control of nonlinear systems
Appendix
Bibliography
Index.
Authors
Petros Ioannou, University of Southern California
Barýp Fidan, Australian National University, Canberra