Chaos: Concepts, Control and Constructive Use

The study of chaotic behaviour in nonlinear, dynamical systems is now a well established research domain with ramifications into all fields of sciences, spanning a vast range of applications, from celestial mechanics, via climate change, to the functioning of brownian motors in cells. A more recent...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Bolotin, Yurii (Συγγραφέας), Tur, Anatoli (Συγγραφέας), Yanovsky, Vladimir (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Understanding Complex Systems,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Bolotin, Yurii.  |e author. 
245 1 0 |a Chaos: Concepts, Control and Constructive Use  |h [electronic resource] /  |c by Yurii Bolotin, Anatoli Tur, Vladimir Yanovsky. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 |a VIII, 198 p. 90 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Understanding Complex Systems,  |x 1860-0832 
505 0 |a Paradigm for Chaos -- Main Features of Chaotic Systems -- Reconstruction of Dynamical Systems -- Controlling Chaos -- Synchronization of Chaotic Systems -- Stochastic Resonance -- The Appearance of Regular Fluxes Without Gradients. 
520 |a The study of chaotic behaviour in nonlinear, dynamical systems is now a well established research domain with ramifications into all fields of sciences, spanning a vast range of applications, from celestial mechanics, via climate change, to the functioning of brownian motors in cells. A more recent discovery is that chaos can be controlled and, under appropriate conditions, can actually be constructive in the sense of becoming a control parameter itself for the system under investigation, stochastic resonance being a prime example. The present work is putting emphasis on 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 relevant algorithms for both Hamiltonian and dissipative systems amongst 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. This short and concise primer is particularly suitable for postgraduate students and non-specialist scientists from related areas, wishing to enter the field quickly and efficiently. 
650 0 |a Physics. 
650 0 |a System theory. 
650 0 |a Statistical physics. 
650 0 |a Dynamical systems. 
650 0 |a Complexity, Computational. 
650 0 |a Vibration. 
650 0 |a Dynamics. 
650 1 4 |a Physics. 
650 2 4 |a Statistical Physics, Dynamical Systems and Complexity. 
650 2 4 |a Vibration, Dynamical Systems, Control. 
650 2 4 |a Complexity. 
650 2 4 |a Systems Theory, Control. 
700 1 |a Tur, Anatoli.  |e author. 
700 1 |a Yanovsky, Vladimir.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642009365 
830 0 |a Understanding Complex Systems,  |x 1860-0832 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-00937-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)