Model-Free Stabilization by Extremum Seeking

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Technology, Automation
Cover of the book Model-Free Stabilization by Extremum Seeking by Alexander Scheinker, Miroslav Krstić, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alexander Scheinker, Miroslav Krstić ISBN: 9783319507903
Publisher: Springer International Publishing Publication: December 23, 2016
Imprint: Springer Language: English
Author: Alexander Scheinker, Miroslav Krstić
ISBN: 9783319507903
Publisher: Springer International Publishing
Publication: December 23, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Optical Coherence Tomography in Multiple Sclerosis by Alexander Scheinker, Miroslav Krstić
Cover of the book CEOs and White-Collar Crime by Alexander Scheinker, Miroslav Krstić
Cover of the book Applications in Electronics Pervading Industry, Environment and Society by Alexander Scheinker, Miroslav Krstić
Cover of the book Clinical Cases in Early Orthodontic Treatment by Alexander Scheinker, Miroslav Krstić
Cover of the book Formal Aspects of Component Software by Alexander Scheinker, Miroslav Krstić
Cover of the book Innovations in Dryland Agriculture by Alexander Scheinker, Miroslav Krstić
Cover of the book Socially-critical Environmental Education in Primary Classrooms by Alexander Scheinker, Miroslav Krstić
Cover of the book Resorbable Fiber-Forming Polymers for Biotextile Applications by Alexander Scheinker, Miroslav Krstić
Cover of the book National Security, Surveillance and Terror by Alexander Scheinker, Miroslav Krstić
Cover of the book Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System by Alexander Scheinker, Miroslav Krstić
Cover of the book Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® by Alexander Scheinker, Miroslav Krstić
Cover of the book Media and Metamedia Management by Alexander Scheinker, Miroslav Krstić
Cover of the book Neighborhood Semantics for Modal Logic by Alexander Scheinker, Miroslav Krstić
Cover of the book Progress in Cryptology -- INDOCRYPT 2015 by Alexander Scheinker, Miroslav Krstić
Cover of the book Digital Cultural Heritage by Alexander Scheinker, Miroslav Krstić
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy