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Titlebook: Chaos: Concepts, Control and Constructive Use; Yurii Bolotin,Anatoli Tur,Vladimir Yanovsky Book 2017Latest edition Springer International

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發(fā)表于 2025-3-21 17:18:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Chaos: Concepts, Control and Constructive Use
編輯Yurii Bolotin,Anatoli Tur,Vladimir Yanovsky
視頻videohttp://file.papertrans.cn/224/223917/223917.mp4
概述Offers a concise introduction to the key concepts and control of chaos in dynamical systems.Explores, in this second edition, the many interfaces of quantum physics and dynamical systems.Examines the
叢書名稱Understanding Complex Systems
圖書封面Titlebook: Chaos: Concepts, Control and Constructive Use;  Yurii Bolotin,Anatoli Tur,Vladimir Yanovsky Book 2017Latest edition Springer International
描述.This book offers a short and concise introduction to the many facets of chaos theory..While the study of chaotic behavior in nonlinear, dynamical systems is a well-established research field with ramifications in all areas of science, there is a lot to be learnt about how chaos can be controlled and, under appropriate conditions, can actually be constructive in the sense of becoming a control parameter for the system under investigation, stochastic resonance being a prime example..The present work stresses the latter aspects and, after recalling the paradigm changes introduced by the concept of chaos, leads the reader skillfully through the basics of chaos control by detailing the relevant algorithms for both Hamiltonian and dissipative systems, among others..The main part of the book is then devoted to the issue of synchronization in chaotic systems, an introduction to stochastic resonance, and a survey of ratchet models. In this second, revised and enlarged edition, two more chapters explore the many interfaces of quantum physics and dynamical systems, examining in turn statistical properties of energy spectra, quantum ratchets, and dynamical tunneling, among others..This text i
出版日期Book 2017Latest edition
關(guān)鍵詞chaos control; reconstruction of dynamical systems; stochastic resonance; synchronization in complex sy
版次2
doihttps://doi.org/10.1007/978-3-319-42496-5
isbn_softcover978-3-319-82592-2
isbn_ebook978-3-319-42496-5Series ISSN 1860-0832 Series E-ISSN 1860-0840
issn_series 1860-0832
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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發(fā)表于 2025-3-21 23:36:57 | 只看該作者
https://doi.org/10.1007/978-3-540-68658-3ysics is the creation of models for the description of real physical phenomena. In many cases, those phenomena are so complicated that it is not always clear what physical principles lie at their root. This is especially clearly seen in attempts to describe various phenomena in biological systems. O
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The general properties of potyvirusesits amplification was at the center of attention. However, at the beginning of the 1990s, the pendulum swung in the other direction. Considerable theoretical and experimental efforts were made to convert chaos into periodic motion. A new and intensely developing domain of non-linear dynamics—control
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Book 2017Latest editionance, and a survey of ratchet models. In this second, revised and enlarged edition, two more chapters explore the many interfaces of quantum physics and dynamical systems, examining in turn statistical properties of energy spectra, quantum ratchets, and dynamical tunneling, among others..This text i
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發(fā)表于 2025-3-22 16:26:05 | 只看該作者
Reconstruction of Dynamical Systems,ysics is the creation of models for the description of real physical phenomena. In many cases, those phenomena are so complicated that it is not always clear what physical principles lie at their root. This is especially clearly seen in attempts to describe various phenomena in biological systems. O
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發(fā)表于 2025-3-23 00:37:28 | 只看該作者
Stochastic Resonance, certain conditions to an increase of order on the output. Quantitatively, the effect manifests in the fact that such integral system characteristics as gain constant, noise-to-signal ratio have a clearly marked maximum at some optimal noise level. At the same time, the system entropy reaches a mini
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