High-dimensional Chaotic and Attractor Systems

Ivancevic, Vladimir G.; Ivancevic, Tijana T.

ISBN 10: 1402054556 / ISBN 13: 9781402054556

Editore: Springer-Verlag New York Inc., 2006

Riguardo questo articolo

Details prediction and control of high-dimensional chaotic and attractor systems of real life. This book provides a scientific tool that enables the actual performance of competitive research in high-dimensional chaotic and attractor dynamics. It deals with phase synchronization in high-dimensional chaotic systems. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 712 pages, biography. BIC Classification: PBWS. Category: (UU) Undergraduate. Dimension: 235 x 155 x 33. Weight in Grams: 1293. . 2006. Hardback. . . . .

Codice articolo V9781402054556

Dati bibliografici

• Titolo: High-dimensional Chaotic and Attractor Systems
• Editore: Springer-Verlag New York Inc.
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 1402054556
• ISBN 13: 9781402054556
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This graduate–level textbook is devoted to understanding, prediction and control of high–dimensional chaotic and attractor systems of real life. The objective is to provide the serious reader with a serious scientific tool that will enable the actual performance of competitive research in high–dimensional chaotic and attractor dynamics. From introductory material on low-dimensional attractors and chaos, the text explores concepts including Poincaré’s 3-body problem, high-tech Josephson junctions, and more.

Recensione

From the reviews:

"This is an ambitious book that ... is devoted to the understanding, prediction and control of high-dimensional chaotic and attractor systems in real life. ... Finally, and most usefully, the book has a substantial list of references (over 30 pages of them), meaning that the book can be used as a guide to literature in a diverse range of topics related to high- (and indeed low-) dimensional chaotic and nonlinear systems." (Peter Ashwin, Mathematical Reviews, Issue 2008 h)