Extremum-seeking control and applications : a numerical optimization-based approach
Author(s)
Bibliographic Information
Extremum-seeking control and applications : a numerical optimization-based approach
(Advances in industrial control)
Springer, c2012
- hbk.
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
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  United States of America
Note
Formerly CIP Uk
Includes bibliographical references and index
Description and Table of Contents
Description
Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis.
Extremum-seeking Control and Applications is divided into two parts. In the first, the authors review existing analog-optimization-based extremum-seeking control including gradient-, perturbation- and sliding-mode-based control designs. They then propose a novel numerical-optimization-based extremum-seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems.
The two main optimization algorithms - line search and trust region methods - are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement and tends to be more robust than those that use perturbation-based extremum-seeking control.
The second part of the book deals with a variety of applications of extremum-seeking control:
a comparative study of extremum-seeking control schemes in antilock braking system design;
source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents;
mobile radar networks; and
impedance matching.
MATLAB (R)/Simulink (R) code which can be downloaded from www.springer.com/ISBN helps readers to reproduce the results presented in the text and gives them a head start for implementing the algorithms in their own applications.
Extremum-seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.
Table of Contents
Part I: Theory.- Introduction.- Design of Extremum-seeking Control.- Finite-time State Regulator Design.-Asymptotic State Regulator Design.- Part II: Applications.- Antilock Braking systems.- Swarm Tracking.- Impedance Matching.- Mobile Radar Network.- Appendix: Construction of Reference Signal.
by "Nielsen BookData"