Authors:
- Presents a unique use of extremum seeking for stabilization of unstable dynamical systems
- Reinforces the basic principles with extensive use of worked examples
- Offers a thorough, self-contained analytical study with clear proofs of all results
- Backs up the theory with detailed experimental, in-hardware results
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
Part of the book sub series: SpringerBriefs in Control, Automation and Robotics (BRIEFSCONTROL)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Reviews
“The results of the book are based on the main theoretical results represented by the weak-limit averaging theorem that can be considered as an interesting alternative to other stabilization methods. The book is worth being consulted by mathematics and control theory students and researchers.” (Liviu Goraş, zbMATH 1380.37004, 2018)
Authors and Affiliations
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Low-Level RF Control Group, Los Alamos National Laboratory, Los Alamos, USA
Alexander Scheinker
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Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, USA
Miroslav Krstić
About the authors
Alexander Scheinker is with the radio frequency control group at Los Alamos National Laboratory. His research is in dynamical systems and control theory with applications to uncertain, nonlinear, and time-varying systems with a focus on utilizing extremum seeking as feedback control for unknown, open-loop unstable systems. He has been working at the Los Alamos Neutron Science Center linear particle accelerator, developing new algorithms and implementing various control algorithms in hardware.
Miroslav Krstić holds the Alspach endowed chair and is the founding director of the Cymer Center for Control Systems and Dynamics at UC San Diego. He also serves as Associate Vice Chancellor for Research at UCSD. Krstic is Fellow of IEEE, IFAC, ASME, SIAM, and IET (UK), Associate Fellow of AIAA, and foreign member of the Academy of Engineering of Serbia. He has received the PECASE, NSF Career, and ONR Young Investigator awards, the Axelby and Schuck paperprizes, the Chestnut textbook prize, the ASME Nyquist Lecture Prize, and the first UCSD Research Award given to an engineer. Krstic has also been awarded the Springer Visiting Professorship at UC Berkeley, the Distinguished Visiting Fellowship of the Royal Academy of Engineering, the Invitation Fellowship of the Japan Society for the Promotion of Science, and the Honorary Professorships from the Northeastern University (Shenyang), Chongqing University, Donghua University, and Dalian Maritime University, China. Krstic has coauthored eleven books on adaptive, nonlinear, and stochastic control, extremum seeking, control of PDE systems including turbulent flows, and control of delay systems.Bibliographic Information
Book Title: Model-Free Stabilization by Extremum Seeking
Authors: Alexander Scheinker, Miroslav Krstić
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-319-50790-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-3-319-50789-7Published: 30 December 2016
eBook ISBN: 978-3-319-50790-3Published: 23 December 2016
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: IX, 127
Number of Illustrations: 13 b/w illustrations, 33 illustrations in colour
Topics: Control and Systems Theory, Systems Theory, Control, Calculus of Variations and Optimal Control; Optimization, Particle Acceleration and Detection, Beam Physics, Artificial Intelligence
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