Skip to content
Register Sign in Wishlist
L1 Adaptive Control Theory

L1 Adaptive Control Theory
Guaranteed Robustness with Fast Adaptation

Part of Advances in Design and Control

  • Date Published: September 2010
  • 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: 9780898717044

Paperback

Add to wishlist

Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • L1 Adaptive Control Theory presents a new and efficient way of developing control laws for highly uncertain or rapidly changing environments. The key feature of this new theory is the decoupling of adaptation from robustness: the architectures of L1 adaptive control theory have guaranteed transient performance and robustness in the presence of fast adaptation. The authors cover detailed proofs of the main results and also present the results of flight tests which used this theory. The material is organized into six chapters and concludes with an appendix that summarizes the mathematical results used to support the proofs. This book is intended for graduate students; researchers; and aerospace, mechanical, chemical, industrial and electrical engineers interested in pursuing new directions in research and developing technology at reduced costs.

    • Contains results not yet published in technical journals and conference proceedings
    • The theory gives engineers new opportunities for developing technology at reduced costs
    • All the codes are available online so that the reader can reproduce the book's examples
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: September 2010
    • format: Paperback
    • isbn: 9780898717044
    • length: 337 pages
    • dimensions: 254 x 178 x 17 mm
    • weight: 0.58kg
    • 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

    Foreword
    Preface
    1. Introduction
    2. State feedback in the presence of matched uncertainties
    3. State feedback in the presence of unmatched uncertainties
    4. Output feedback
    5. L1 Adaptive controller for time-varying reference systems
    6. Applications, conclusions, and open problems
    Appendix A. Systems theory
    Appendix B. Projection operator for adaptation laws
    Appendix C. Basic facts on linear matrix inequalities
    Bibliography
    Index.

  • Resources for

    L1 Adaptive Control Theory

    Naira Hovakimyan, Chengyu Cao

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact lecturers@cambridge.org.

  • Authors

    Naira Hovakimyan, University of Illinois, Urbana-Champaign
    Naira Hovakimyan is Professor and Schaller Faculty Scholar at the University of Illinois, Urbana-Champaign. She is an Associate Editor of IEEE Transactions on Control Systems Technology; Computational Management Science; and Mathematics in Engineering, Science and Aerospace, and she has authored over 200 refereed publications. Dr Hovakimyan was the 2004, 2005 and 2007 recipient of the Pride@Boeing award, and she received the Dean's Award for Research Excellence at Virginia Tech in 2008. Her current interests are in the theory of robust adaptive control and estimation with an emphasis on aerospace applications, control in the presence of limited information, networks of autonomous systems and game theory.

    Chengyu Cao, University of Connecticut
    Chengyu Cao is Assistant Professor of Mechanical Engineering at the University of Connecticut. Dr Cao's research interests are in the areas of dynamics and control, adaptive and intelligent systems, and mechatonics, with a focus on unmanned systems and aerospace applications. He is the author of more than 100 publications in journals and peer-reviewed conference proceedings.

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×