Overview
- Places substantial emphasis on practical issues, enriching knowledge of applications of adaptive control
- Numerous examples and exercises assist the student in assimilating knowledge
- Solutions and MATLABĀ® files provided to make the most of the learning potential of exercises
- Does not overstress mathematical theory so that students can concentrate on the necessities
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Textbooks in Control and Signal Processing (C&SP)
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Table of contents(10 chapters)
About this book
This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously.
Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics.
The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered.
Robustness issues connected withMRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant.
Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the authorās work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLABĀ® files.
Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.Reviews
Authors and Affiliations
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Intelligent Systems, NASA Ames Research Center, Moffett Field, USA
Nhan T. Nguyen
About the author
Bibliographic Information
Book Title: Model-Reference Adaptive Control
Book Subtitle: A Primer
Authors: Nhan T. Nguyen
Series Title: Advanced Textbooks in Control and Signal Processing
DOI: https://doi.org/10.1007/978-3-319-56393-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-56392-3Published: 15 March 2018
Softcover ISBN: 978-3-030-09619-9Published: 16 December 2018
eBook ISBN: 978-3-319-56393-0Published: 01 March 2018
Series ISSN: 1439-2232
Series E-ISSN: 2510-3814
Edition Number: 1
Number of Pages: XVII, 444
Number of Illustrations: 13 b/w illustrations, 102 illustrations in colour
Topics: Control and Systems Theory, Aerospace Technology and Astronautics, Systems Theory, Control