Model-Free Stabilization by Extremum Seeking (Record no. 80758)

000 -LEADER
fixed length control field 03808nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-3-319-50790-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222428.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161224s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319507903
-- 978-3-319-50790-3
082 04 - CLASSIFICATION NUMBER
Call Number 629.8312
082 04 - CLASSIFICATION NUMBER
Call Number 003
100 1# - AUTHOR NAME
Author Scheinker, Alexander.
245 10 - TITLE STATEMENT
Title Model-Free Stabilization by Extremum Seeking
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 127 p. 46 illus., 33 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Control, Automation and Robotics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Weak Limit Averaging for Studying the Dynamics of Extremum-Seeking-Stabilized Systems -- Minimization of Lyapunov Functions -- Control Affine Systems -- Non-C2 Extremum Seeking -- Bounded Extremum Seeking -- Extremum Seeking for Stabilization of Systems Not Affine in Control -- General Choice of Extremum-Seeking Dithers -- Application Study: Particle Accelerator Tuning.
520 ## - SUMMARY, ETC.
Summary, etc With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but in a time-average sense. Rather than use integrals of the systems vector field, we employ Lie-bracket-based (i.e., derivative-based) averaging. The brief contains numerous examples and applications, including examples with unknown control directions and experiments with charged particle accelerators. It is intended for theoretical control engineers and mathematicians, and practitioners working in various industrial areas and in robotics.
700 1# - AUTHOR 2
Author 2 Krstić, Miroslav.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-50790-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- System theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Calculus of variations.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Particle accelerators.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Systems Theory, Control .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Calculus of Variations and Optimization.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Accelerator Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2192-6794
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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